subject:(Image analysis)

University of Newcastle

1. Abdolhoseini, Mahmoud. Analysis of microscopy images: modelling and reconstruction.

Degree: PhD, 2019, University of Newcastle

URL: http://hdl.handle.net/1959.13/1410340

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Research Doctorate - Doctor of Philosophy (PhD)

Computer-aided image analysis plays a vital role in modern medicine by introducing algorithms and techniques to extract the… (more)

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Research Doctorate - Doctor of Philosophy (PhD)

Computer-aided image analysis plays a vital role in modern medicine by introducing algorithms and techniques to extract the desired information and features out of raw images. This valuable information helps clinicians and researchers to get a better insight into disorders in different organs, such as brain tumour, lung and breast cancer, and treat them more successfully. In neuroscience, the analysis of cells and vessels in the brain highly depends on the microscopy image analysis. This thesis contributes to this field in three parts: 1- modelling of microscopy images and generating synthetic image dataset, 2- proposing a novel algorithm to segment clump of nuclei from histopathological images, 3- proposing a new tracing algorithm to reconstruct and quantify microglial cells. In the first part of this thesis we focus on modelling microscopy images and generating realistic synthetic images with known ground truths which offer a means of assessing algorithm performance. We propose a synthesizer for neuron nucleus micro-environment using Gaussian mixture model (GMM) and Perlin noise function. Nucleus shapes are generated by spline interpolation of random points on elliptical shapes. The textures of the foreground (nuclei) and the background are generated via Perlin noise, and then assigned intensities generated by applying GMM to the real data. The cell orientations are also implemented via Perlin noise to mimic the behaviour of the actual neuron cells. In the second part of this thesis we propose a novel method of segmentation applicable to variety of histopathological images stained for different proteins, with high speed, accuracy and level of automation. Our algorithm is initiated by applying a new locally adaptive thresholding method on watershed regions. Followed by a new splitting technique based on multilevel thresholding and the watershed algorithm to separate clustered nuclei. Finalized by a model-based merging step to eliminate oversegmentation and a model-based correction step to improve segmentation results. In the last part of this thesis we propose an automated method to reconstruct microglia, and quantify their features from 2D/3D image datasets. Multilevel thresholding is employed to segment soma volumes and recognize foreground voxels. Then, we propose a tracing process to connect seed points sampled from the foreground and form the skeleton of the branches. The thickness of the branches are estimated during a pruning process. The reconstructed data is then quantified and written in SWC standard file format. We have applied our methods to various image datasets for which the evaluated results show our methods outperform the state-of-the-art methods in terms of accuracy, precision, F1-measure, and computational time.

Advisors/Committee Members: University of Newcastle. Faculty of Engineering & Built Environment , School of Electrical Engineering and Computing.

Subjects/Keywords: microscopy image; image processing; image modelling; image reconstruction; image analysis

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APA (6^th Edition):

Abdolhoseini, M. (2019). Analysis of microscopy images: modelling and reconstruction. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1410340

Chicago Manual of Style (16^th Edition):

Abdolhoseini, Mahmoud. “Analysis of microscopy images: modelling and reconstruction.” 2019. Doctoral Dissertation, University of Newcastle. Accessed February 26, 2020. http://hdl.handle.net/1959.13/1410340.

MLA Handbook (7^th Edition):

Abdolhoseini, Mahmoud. “Analysis of microscopy images: modelling and reconstruction.” 2019. Web. 26 Feb 2020.

Vancouver:

Abdolhoseini M. Analysis of microscopy images: modelling and reconstruction. [Internet] [Doctoral dissertation]. University of Newcastle; 2019. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/1959.13/1410340.

Council of Science Editors:

Abdolhoseini M. Analysis of microscopy images: modelling and reconstruction. [Doctoral Dissertation]. University of Newcastle; 2019. Available from: http://hdl.handle.net/1959.13/1410340

University of Technology, Sydney

2. Zhou, Zheng. Recognising and describing human activities in a still image.

Degree: 2017, University of Technology, Sydney

URL: http://hdl.handle.net/10453/120262

► Understanding human activities in a still image is an essential research branch of artificial intelligence. For a computer system, the ability of understanding activities in… (more)

▼ Understanding human activities in a still image is an essential research branch of artificial intelligence. For a computer system, the ability of understanding activities in an image is composed of not only the ability of recognising the activities in the image but also the ability of describing the recognised activities. In the age of big data, activity recognition and description generation for image have received increasing research attention, since they are of great importance in image-based information retrieval, automated image collection and collation, human-computer interaction and automated security surveillance. This thesis conducts research on recognising and describing activities in a still image and achieves several innovative achievements as follows. (1) A framework for recognising human activities based on analysing the interactions among people is proposed. The interactions among people provide useful context for activity recognition but have not been fully taken advantage of by the existing approaches for both individual and group activity recognition. The framework is constructed based on analysing the mechanism that human brains analyse the interactions, and composed of four key sub-tasks, including Human Detection and Segmentation, Feature Extraction, Interaction Analysis and Activity Recognition. (2) An approach for recognising individual activities based on human-interaction analysis is developed. This approach uses an innovative single-level model, called the Non-hierarchical Interaction Analysis Model (NIAM), to analyse the interactions between individuals. The NIAM does not contain a level representing groups and a group discovery process, in order to avoid the errors occurred in and computation consumed for group discovery. Several innovative algorithms are proposed and compose the body of the recognition approach, including a Fusion Restricted Boltzmann Machine for fusing features of different dimensional scales, a Focal Subspace Measurement for calculating the interdependencies between people and a Global-Local Cue Integration Method for selecting and integrating the cues extracted from different people. (3) An approach for recognising group activities based on human-interaction analysis is developed. This approach uses a new multiple-level generative model, called Mixed Group Activity Model (MGAM). Compared with the popular discriminative multiple-level models, the MGAM performs better in comprehensively analysing the information of multiple levels of activities and modeling the interactions among multiple individuals or groups. To connect the MGAM with the raw features in an image, a Body-Part-Angle (BPA) descriptor is proposed. The BPA descriptor is friendly to a generative model that the generation distribution between the model and the raw features can be easily defined and learned. (4) A description generator for describing the human-object interaction activities in images with natural language is proposed. Compared with the sentences given by the traditional retrieval-based…

Subjects/Keywords: Human-interaction analysis.; Image interpretation.; Image analysis.

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APA (6^th Edition):

Zhou, Z. (2017). Recognising and describing human activities in a still image. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/120262

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Zhou, Zheng. “Recognising and describing human activities in a still image.” 2017. Thesis, University of Technology, Sydney. Accessed February 26, 2020. http://hdl.handle.net/10453/120262.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Zhou, Zheng. “Recognising and describing human activities in a still image.” 2017. Web. 26 Feb 2020.

Vancouver:

Zhou Z. Recognising and describing human activities in a still image. [Internet] [Thesis]. University of Technology, Sydney; 2017. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/10453/120262.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhou Z. Recognising and describing human activities in a still image. [Thesis]. University of Technology, Sydney; 2017. Available from: http://hdl.handle.net/10453/120262

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Arizona

3. Todd, Douglas Wallace. Zebrafish Video Analysis System for High-Throughput Drug Assay .

Degree: 2016, University of Arizona

URL: http://hdl.handle.net/10150/623150

► Zebrafish swimming behavior is used in a new, automated drug assay system as a biomarker to measure drug efficiency to prevent or restore hearing loss.… (more)

Subjects/Keywords: zebrafish; image analysis

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APA (6^th Edition):

Todd, D. W. (2016). Zebrafish Video Analysis System for High-Throughput Drug Assay . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/623150

Chicago Manual of Style (16^th Edition):

Todd, Douglas Wallace. “Zebrafish Video Analysis System for High-Throughput Drug Assay .” 2016. Masters Thesis, University of Arizona. Accessed February 26, 2020. http://hdl.handle.net/10150/623150.

MLA Handbook (7^th Edition):

Todd, Douglas Wallace. “Zebrafish Video Analysis System for High-Throughput Drug Assay .” 2016. Web. 26 Feb 2020.

Vancouver:

Todd DW. Zebrafish Video Analysis System for High-Throughput Drug Assay . [Internet] [Masters thesis]. University of Arizona; 2016. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/10150/623150.

Council of Science Editors:

Todd DW. Zebrafish Video Analysis System for High-Throughput Drug Assay . [Masters Thesis]. University of Arizona; 2016. Available from: http://hdl.handle.net/10150/623150

KTH

4. Vucic, Vladimir. Image Analysis for Nail-fold Capillaroscopy.

Degree: Electrical Engineering (EES), 2015, KTH

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-174868

► Detection of diseases in an early stage is very important since it can make the treatment of patients easier, safer and more ecient. For… (more)

Subjects/Keywords: Image analysis; capillaroscopy

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APA (6^th Edition):

Vucic, V. (2015). Image Analysis for Nail-fold Capillaroscopy. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-174868

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Vucic, Vladimir. “Image Analysis for Nail-fold Capillaroscopy.” 2015. Thesis, KTH. Accessed February 26, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-174868.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Vucic, Vladimir. “Image Analysis for Nail-fold Capillaroscopy.” 2015. Web. 26 Feb 2020.

Vancouver:

Vucic V. Image Analysis for Nail-fold Capillaroscopy. [Internet] [Thesis]. KTH; 2015. [cited 2020 Feb 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-174868.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vucic V. Image Analysis for Nail-fold Capillaroscopy. [Thesis]. KTH; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-174868

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Leiden University

5. Vaart, Jasper Bonne van der. Model Observers in Simulated Complex 2D and 3D CT Images.

Degree: 2017, Leiden University

URL: http://hdl.handle.net/1887/45707

► In medical imaging, model observers are used to define a new method of task based image quality assessment. In this thesis a novel search algorithm… (more)

Subjects/Keywords: Model Observers; Image Quality; CT image analysis

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APA (6^th Edition):

Vaart, J. B. v. d. (2017). Model Observers in Simulated Complex 2D and 3D CT Images. (Masters Thesis). Leiden University. Retrieved from http://hdl.handle.net/1887/45707

Chicago Manual of Style (16^th Edition):

Vaart, Jasper Bonne van der. “Model Observers in Simulated Complex 2D and 3D CT Images.” 2017. Masters Thesis, Leiden University. Accessed February 26, 2020. http://hdl.handle.net/1887/45707.

MLA Handbook (7^th Edition):

Vaart, Jasper Bonne van der. “Model Observers in Simulated Complex 2D and 3D CT Images.” 2017. Web. 26 Feb 2020.

Vancouver:

Vaart JBvd. Model Observers in Simulated Complex 2D and 3D CT Images. [Internet] [Masters thesis]. Leiden University; 2017. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/1887/45707.

Council of Science Editors:

Vaart JBvd. Model Observers in Simulated Complex 2D and 3D CT Images. [Masters Thesis]. Leiden University; 2017. Available from: http://hdl.handle.net/1887/45707

University of Hong Kong

6. Chen, Zhuo. A methodology for trajectory based learning and prediction of human motions in visual surveillance.

Degree: PhD, 2011, University of Hong Kong

URL: Chen, Z. [陈卓]. (2011). A methodology for trajectory based learning and prediction of human motions in visual surveillance. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4714598 ; http://dx.doi.org/10.5353/th_b4714598 ; http://hdl.handle.net/10722/145673

published_or_final_version

Electrical and Electronic Engineering

Doctoral

Doctor of Philosophy

Advisors/Committee Members: Yung, NHC.

Subjects/Keywords: Image processing.; Electronic surveillance.; Image analysis.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Chen, Z. (2011). A methodology for trajectory based learning and prediction of human motions in visual surveillance. (Doctoral Dissertation). University of Hong Kong. Retrieved from Chen, Z. [陈卓]. (2011). A methodology for trajectory based learning and prediction of human motions in visual surveillance. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4714598 ; http://dx.doi.org/10.5353/th_b4714598 ; http://hdl.handle.net/10722/145673

Chicago Manual of Style (16^th Edition):

Chen, Zhuo. “A methodology for trajectory based learning and prediction of human motions in visual surveillance.” 2011. Doctoral Dissertation, University of Hong Kong. Accessed February 26, 2020. Chen, Z. [陈卓]. (2011). A methodology for trajectory based learning and prediction of human motions in visual surveillance. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4714598 ; http://dx.doi.org/10.5353/th_b4714598 ; http://hdl.handle.net/10722/145673.

MLA Handbook (7^th Edition):

Chen, Zhuo. “A methodology for trajectory based learning and prediction of human motions in visual surveillance.” 2011. Web. 26 Feb 2020.

Vancouver:

Chen Z. A methodology for trajectory based learning and prediction of human motions in visual surveillance. [Internet] [Doctoral dissertation]. University of Hong Kong; 2011. [cited 2020 Feb 26]. Available from: Chen, Z. [陈卓]. (2011). A methodology for trajectory based learning and prediction of human motions in visual surveillance. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4714598 ; http://dx.doi.org/10.5353/th_b4714598 ; http://hdl.handle.net/10722/145673.

Council of Science Editors:

Chen Z. A methodology for trajectory based learning and prediction of human motions in visual surveillance. [Doctoral Dissertation]. University of Hong Kong; 2011. Available from: Chen, Z. [陈卓]. (2011). A methodology for trajectory based learning and prediction of human motions in visual surveillance. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4714598 ; http://dx.doi.org/10.5353/th_b4714598 ; http://hdl.handle.net/10722/145673

University of Johannesburg

7. El-Hesnawi, Mohamed Rahoma. Subjective analysis of image coding errors.

Degree: 2009, University of Johannesburg

URL: http://hdl.handle.net/10210/2162

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D.Ing.

The rapid use of digital images and the necessity to compress them, has created the need for the development of image quality metrics. Subjective… (more)

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D.Ing.

The rapid use of digital images and the necessity to compress them, has created the need for the development of image quality metrics. Subjective evaluation is the most accurate of the image quality evaluation methods, but it is time consuming, tedious and expensive. In the mean time widely used objective evaluations such as the mean squared error measure has proven that they do not assess the image quality the way a human observer does. Since the human observer is the final receiver of most visual information, taking the way humans perceive visual information will be greatly beneficial for the development of an objective image quality metric that will reflect the subjective evaluation of distorted images. Many attempts have been carried out in the past, which tried to develop distortion metrics that model the processes of the human visual system, and many promising results have been achieved. However most of these metrics were developed with the use of simple visual stimuli, and most of these models were based on the visibility threshold measures, which are not representative of the distortion introduced in complex natural compressed images. In this thesis, a new image quality metric based on the human visual system properties as related to image perception is proposed. This metric provides an objective image quality measure for the subjective quality of coded natural images with suprathreshold degradation. This proposed model specifically takes into account the structure of the natural images, by analyzing the images into their different components, namely: the edges, texture and background (smooth) components, as these components influence the formation of perception in the HVS differently. Hence the HVS sensitivity to errors in images depends on weather these errors lie in more active areas of the image, such as strong edges or texture, or in the less active areas such as the smooth areas. These components are then summed to obtain the combined image which represents the way the HVS is postulated to perceive the image. Extensive subjective evaluation was carried out for the different image components and the combined image, obtained for the coded images at different qualities. The objective (RMSE) for these images was also calculated. A transformation between the subjective and the objective quality measures was performed, from which the objective metric that can predict the human perception of image quality was developed. The metric was shown to provide an accurate prediction of image quality, which agrees well with the prediction provided by the expensive and lengthy process of subjective evaluation. Furthermore it has the desired properties of the RMSE of being easier and cheaper to implement. Therefore, this metric will be useful for evaluating error mechanisms present in proposed coding schemes.

Subjects/Keywords: Visual pathways; Image processing; Image analysis; Algorithms

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

El-Hesnawi, M. R. (2009). Subjective analysis of image coding errors. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/2162

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

El-Hesnawi, Mohamed Rahoma. “Subjective analysis of image coding errors.” 2009. Thesis, University of Johannesburg. Accessed February 26, 2020. http://hdl.handle.net/10210/2162.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

El-Hesnawi, Mohamed Rahoma. “Subjective analysis of image coding errors.” 2009. Web. 26 Feb 2020.

Vancouver:

El-Hesnawi MR. Subjective analysis of image coding errors. [Internet] [Thesis]. University of Johannesburg; 2009. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/10210/2162.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

El-Hesnawi MR. Subjective analysis of image coding errors. [Thesis]. University of Johannesburg; 2009. Available from: http://hdl.handle.net/10210/2162

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Adelaide

8. Gao, Ming. Image processing and analysis for autonomous grapevine pruning.

Degree: 2011, University of Adelaide

URL: http://hdl.handle.net/2440/72721

► In recent years, efforts are made to automate vineyard operations to cap the ever increasing labour cost. However, one of the operations that have not… (more)

▼ In recent years, efforts are made to automate vineyard operations to cap the ever increasing labour cost. However, one of the operations that have not been completely automated is grapevine pruning. A robotic machine for grapevine pruning needs to respond to the changing physical characteristics of the environment, and to date, no algorithm can accurately identified appropriate positions for grapevine pruning in a variety of environmental conditions. The aim of this research was therefore to develop a new algorithm using image processing, image analysis and stereo vision system to determine pruning positions and making automatic grapevine pruning possible. In order to get the pruning positions accurately and automatically, images taken from two cameras are processed and analysed. Utilizing the latest computer vision techniques, the algorithm takes three steps before the final cutting positions are derived. First, the uploaded images are pre-processed by the so called image processing phase during which binary image is obtained from the original image. Second, image analysis technique is employed to identify different parts of grape vine and obtain the 2D positions of the cutting points. Novel algorithms are proposed to locate the cordon, the branch and finally the nodes step by step with high accuracy. Both the locating precision and computing complexity of the algorithms are considered, so that the images could be processed incessantly. Finally, cameral calibration and stereo vision were also performed after that to determine the 3D pruning point, so the system can inform the robotic machine to perform the pruning. For the experiments, images were taken from the vineyard which located in the Adelaide National Wine Centre and the University of Adelaide Waite Campus. Ten images full of canes were analysed, and an 85% success rate for pruning positions was achieved. 85% of the cutting positions found by the proposed method were consistent with those found by experts, while the rest 15% of the cutting positions found by the proposed method would not affect the growth of the grapevine significantly in the next year although they don‘t match the positions found by experts perfectly. The experiment verified the accuracy and application potential of proposed algorithm. The contribution of this research has three folds: a) The latest research and application of automatic grapevine pruning is reviewed; b) A novel automatic grapevine pruning algorithm using computer vision technique to automatically identify important grapevine features, locate the pruning points, and derive their three dimensional coordinates is proposed, researched and developed; c) The proposed algorithm can be also applicable to other agricultural operation automation other than grapevine pruning. Advisors/Committee Members: Lu, Tien-Fu (advisor), School of Mechanical Engineering (school).

Subjects/Keywords: image processing; image analysis; stereo vision

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APA (6^th Edition):

Gao, M. (2011). Image processing and analysis for autonomous grapevine pruning. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/72721

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Gao, Ming. “Image processing and analysis for autonomous grapevine pruning.” 2011. Thesis, University of Adelaide. Accessed February 26, 2020. http://hdl.handle.net/2440/72721.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Gao, Ming. “Image processing and analysis for autonomous grapevine pruning.” 2011. Web. 26 Feb 2020.

Vancouver:

Gao M. Image processing and analysis for autonomous grapevine pruning. [Internet] [Thesis]. University of Adelaide; 2011. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/2440/72721.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gao M. Image processing and analysis for autonomous grapevine pruning. [Thesis]. University of Adelaide; 2011. Available from: http://hdl.handle.net/2440/72721

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Rutgers University

9. Uzunbas, Mustafa Gokhan, 1983-. Automatic and interactive segmentations using deformable and graphical models.

Degree: PhD, Computer Science, 2015, Rutgers University

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/46449/

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Image segmentation i.e. dividing an image into regions and categories is a classic yet still challenging problem. The key to success is to use/develop the… (more)

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Image segmentation i.e. dividing an image into regions and categories is a classic yet still challenging problem. The key to success is to use/develop the right method for the right appli- cation. In this dissertation, we aim to develop automatic and interactive segmentation methods for different types of tissues that are acquired at different scales and resolutions from different medical imaging modalities such as Magnetic Resonance (MR), Computed Tomography (CT) and Electron Microscopy (EM) imaging. First, we developed an automated segmentation method for segmenting multiple organs simultaneously from MR and CT images. We propose a hybrid method that takes advantage of two well known energy-minimization-based approaches combined in a unified framework. We validate this proposed method on cardiac four-chamber segmentation from CT and knee joint bones segmentation from MR images. We compare our method with other existing techniques and show certain improvements and advantages. Second, we developed a graph partitioning algorithm for characterizing neuronal tissue structurally and contextually from EM images. We propose a multistage decision mechanism that utilizes differential geometric properties of objects in a cellular processing context. Our results indicate that this proposed approach can successfully partition images into structured segments with minimal expert supervision and can potentially form a basis for a larger scale volumetric data interpretation. We compare our method with other proposed methods in a workshop challenge and show promising results. Third, we developed an efficient learning-based method for segmentation of neuron struc- tures from 2D and 3D EM images. We propose a graphical-model-based framework to do inference on hierarchical merge-tree of image regions. In particular, we extract the hierarchy of regions in the low level, design 2D and 3D discriminative features to extract higher level information and utilize a Conditional Random Field based parameter learning on top of it. The effectiveness of the proposed method in 2D is demonstrated by comparing our method with other methods in a workshop challenge. Our method outperforms all participant methods ex- cept one. In 3D, we compare our method to existing methods and show that the accuracy of our results are comparable to state-of-the-art while being much more efficient. Finally, we extended our inference algorithm to a proofreading framework for manual cor- rections of automatic segmentation results. We propose a very efficient and easy-to-use inter- face for high resolution 3D EM images. In particular, we utilize the probabilistic confidence level of the graphical model to guide the user during interaction. We validate the effective- ness of this framework by robot simulations and demonstrate certain advantages compared to baseline methods.

Advisors/Committee Members: Metaxas, Dimitris (chair), Elgammal, Ahmed (internal member), Bekris, Kostas (internal member), Shen, Dinggang (outside member).

Subjects/Keywords: Image segmentation; Image analysis; Electron microscopy

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APA (6^th Edition):

Uzunbas, Mustafa Gokhan, 1. (2015). Automatic and interactive segmentations using deformable and graphical models. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/46449/

Chicago Manual of Style (16^th Edition):

Uzunbas, Mustafa Gokhan, 1983-. “Automatic and interactive segmentations using deformable and graphical models.” 2015. Doctoral Dissertation, Rutgers University. Accessed February 26, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/46449/.

MLA Handbook (7^th Edition):

Uzunbas, Mustafa Gokhan, 1983-. “Automatic and interactive segmentations using deformable and graphical models.” 2015. Web. 26 Feb 2020.

Vancouver:

Uzunbas, Mustafa Gokhan 1. Automatic and interactive segmentations using deformable and graphical models. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2020 Feb 26]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/46449/.

Council of Science Editors:

Uzunbas, Mustafa Gokhan 1. Automatic and interactive segmentations using deformable and graphical models. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/46449/

Stellenbosch University

10. Jurgen, Ludemann. Sub-pixel image translation estimation on a nanosatellite platform.

Degree: MEng, Electrical and Electronic Engineering, 2019, Stellenbosch University

URL: http://hdl.handle.net/10019.1/105831

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ENGLISH ABSTRACT: Nanosatellites are limited in their physical size, which limits the physical size of payloads they can carry, thereby limiting the quality of images… (more)

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ENGLISH ABSTRACT: Nanosatellites are limited in their physical size, which limits the physical size of payloads they can carry, thereby limiting the quality of images taken during CubeSat Earth Observation missions. Algorithms exist that combine partially overlapping images to produce better output image quality. These algorithms may either improve the signal-to-noise ratio via averaging, increase resolution via super-resolution or merely remove redundant information via mosaicing. Typically, they only function properly if the geometric transformations between consecutive images are known with high accuracy. They can either be applied terrestrially or on-board a satellite. Downloading large raw image data sets for terrestrial processing is impractical for a CubeSat mission, and therefore an on-board solution is desirable. This thesis discusses the accurate determination of the transformation between consecutive images on-board, laying the foundation for e cient onboard de-noising, super-resolution and mosaicing. Two common methods used to determine translation { normalised cross correlation (NCC) and phase correlation { are investigated. From simulated results, NCC is shown to be the better candidate for our application. NCC achieves sub-pixel accuracy by making use of polynomial least squares regression. NCC is well suited for implementation on a satellite platform where images are captured in quick succession, resulting in partially overlapping images with little rotation between frames. We compare two potential hardware platforms { the MicroZed 7020 and Jetson TK1 { and then describe how we implemented our proposed solution onto the former, using a hardware description language. Software simulation and rmware-implementation results, using simulated data, are compared and discussed. Subsequently, the MicroZed 7020's implemented design is characterised, compared and discussed in terms of algorithm and platform performance.

AFRIKAANSE OPSOMMING: Nanosatelliete is beperk t.o.v hul grootte, gevolglik is die `loonvrag' wat hulle kan dra ook beperk. Dit het 'n negatiewe uitwerking op die kwaliteit van die beelde, wat tydens waarnemings missies van CubeSats gemaak word. Algoritmes bestaan wat gedeeltelik oorvleuelende beelde kombineer om vir hoer kwaliteit `uitset' beelde te sorg. Sulke algoritmes kan die sein-tot-ruis verhouding verbeter via `beeld-sommering', die resolusie verhoog deur super-resolusie of oorbodige informasie via `mosaïekmetodes' verminder. Sodanige algoritmes funksioneer slegs optimaal wanneer die geometriese transformasies tussen agtereenvolgende beelde tot 'n hoë vlak van akkuraatheid bepaal word. Die soort algoritmes kan aan boord, of op die grond toegepas word. Dit is onprakties is om sulke groot ongeformatteerde datastelle af te laai vir prossessering op die grond tydens die missie van 'n Nanosatelliet, dus geniet 'n aanboord oplossing voorkeur. Hierdie tesis bespreek die akkurate bepaling van inter-beeld transformasies aan bord boord van 'n satelliet. Dit l^e…

Advisors/Committee Members: Barnard, Arno, Smit, W., Malan, D. F., Stellenbosch University. Faculty of Engineering. Dept. of Electrical and Electronic Engineering..

Subjects/Keywords: UCTD; Nanosatellites; Image – Translations; Image analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Jurgen, L. (2019). Sub-pixel image translation estimation on a nanosatellite platform. (Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/105831

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Jurgen, Ludemann. “Sub-pixel image translation estimation on a nanosatellite platform.” 2019. Thesis, Stellenbosch University. Accessed February 26, 2020. http://hdl.handle.net/10019.1/105831.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Jurgen, Ludemann. “Sub-pixel image translation estimation on a nanosatellite platform.” 2019. Web. 26 Feb 2020.

Vancouver:

Jurgen L. Sub-pixel image translation estimation on a nanosatellite platform. [Internet] [Thesis]. Stellenbosch University; 2019. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/10019.1/105831.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jurgen L. Sub-pixel image translation estimation on a nanosatellite platform. [Thesis]. Stellenbosch University; 2019. Available from: http://hdl.handle.net/10019.1/105831

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Waterloo

11. Zhang, Yibo (Bob). Retinal Image Analysis and its use in Medical Applications.

Degree: 2011, University of Waterloo

URL: http://hdl.handle.net/10012/5860

► Retina located in the back of the eye is not only a vital part of human sight, but also contains valuable information that can be… (more)

▼ Retina located in the back of the eye is not only a vital part of human sight, but also contains valuable information that can be used in biometric security applications, or for the diagnosis of certain diseases. In order to analyze this information from retinal images, its features of blood vessels, microaneurysms and the optic disc require extraction and detection respectively. We propose a method to extract vessels called MF-FDOG. MF-FDOG consists of using two filters, Matched Filter (MF) and the first-order derivative of Gaussian (FDOG). The vessel map is extracted by applying a threshold to the response of MF, which is adaptively adjusted by the mean response of FDOG. This method allows us to better distinguish vessel objects from non-vessel objects. Microaneurysm (MA) detection is accomplished with two proposed algorithms, Multi-scale Correlation Filtering (MSCF) and Dictionary Learning (DL) with Sparse Representation Classifier (SRC). MSCF is hierarchical in nature, consisting of two levels: coarse level microaneurysm candidate detection and fine level true microaneurysm detection. In the first level, all possible microaneurysm candidates are found while the second level extracts features from each candidate and compares them to a discrimination table for decision (MA or non-MA). In Dictionary Learning with Sparse Representation Classifier, MA and non-MA objects are extracted from images and used to learn two dictionaries, MA and non-MA. Sparse Representation Classifier is then applied to each MA candidate object detected beforehand, using the two dictionaries to determine class membership. The detection result is further improved by adding a class discrimination term into the Dictionary Learning model. This approach is known as Centralized Dictionary Learning (CDL) with Sparse Representation Classifier. The optic disc (OD) is an important anatomical feature in retinal images, and its detection is vital for developing automated screening programs. Currently, there is no algorithm designed to automatically detect the OD in fundus images captured from Asians, which are larger and have thicker vessels compared to Caucasians. We propose such a method to complement current algorithms using two steps: OD vessel candidate detection and OD vessel candidate matching. The proposed extraction/detection approaches are tested in medical applications, specifically the case study of detecting diabetic retinopathy (DR). DR is a complication of diabetes that damages the retina and can lead to blindness. There are four stages of DR and is a leading cause of sight loss in industrialized nations. Using MF-FDOG, blood vessels were extracted from DR images, while DR images fed into MSCF and Dictionary and Centralized Dictionary Learning with Sparse Representation Classifier produced good microaneurysm detection results. Using a new database consisting of only Asian DR patients, we successfully tested our OD detection method. As part of future work we intend to improve existing methods such as enhancing low contrast…

Subjects/Keywords: Image Processing and Analysis; Pattern Analysis and Recognition; Retinal Image Analysis

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APA (6^th Edition):

Zhang, Y. (. (2011). Retinal Image Analysis and its use in Medical Applications. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/5860

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Zhang, Yibo (Bob). “Retinal Image Analysis and its use in Medical Applications.” 2011. Thesis, University of Waterloo. Accessed February 26, 2020. http://hdl.handle.net/10012/5860.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Zhang, Yibo (Bob). “Retinal Image Analysis and its use in Medical Applications.” 2011. Web. 26 Feb 2020.

Vancouver:

Zhang Y(. Retinal Image Analysis and its use in Medical Applications. [Internet] [Thesis]. University of Waterloo; 2011. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/10012/5860.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang Y(. Retinal Image Analysis and its use in Medical Applications. [Thesis]. University of Waterloo; 2011. Available from: http://hdl.handle.net/10012/5860

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Georgia

12. Kim, Minho. Object-based spatial classification of forest vegetation with IKONOS imagery.

Degree: PhD, Geography, 2009, University of Georgia

URL: http://purl.galileo.usg.edu/uga_etd/kim_minho_200905_phd

► Object-based image analysis (OBIA) is employed to classify forest types, including deciduous, evergreen and mixed forests, in a U.S. National Park unit using very high… (more)

▼ Object-based image analysis (OBIA) is employed to classify forest types, including deciduous, evergreen and mixed forests, in a U.S. National Park unit using very high spatial resolution (VHR) IKONOS satellite imagery. This research investigates the effect of scale on segmentation quality and object-based forest type classification. Average local variance and spatial autocorrelation analyses are utilized to determine the quality of segmentation. This research also examines the effect of grey-level co-occurrence matrix (GLCM) texture measures on forest classification results. The comparison of a manual interpretation revealed that three distinct levels of segmentation quality were yielded depending on scale: over-, optimal- and under-segmentation. Over-segmentation produced larger number and smaller size of image objects (or segments) than those of manually interpreted forest stands. Under-segmentation generated the smaller number of image objects with larger average size compared with manual interpretation. On the other hand, optimal segmentation with a scale (i.e., scale parameter) of 18 generated similar image objects much resembling manually interpreted forest stands in number and average size. Based on visual assessment, image segments were similar to manually interpreted forest stands in terms of location, shape, number and average size. Statistical analyses supported these results. A graph of average local variance against segmentation scale also indicated an optimal scale of 18. According to spatial autocorrelation analysis, this research found that over- and under-segmentations were related to positive autocorrelation, while optimal segmentations achieved lower, or even negative, Moran’s I values. This research discovered that optimal segmentations achieved higher accuracy of forest type classification than over- and under-segmentation. In particular, a scale of 19 produced the highest overall classification accuracies when using only spectral bands (79 % in overall accuracy and 0.65 in Kappa). The research found that the incorporation of individual texture measures did not improve OBIA forest classification at scale 19. Instead, the use of multiple texture measures enhanced OBIA forest type classification accuracies to 83 % in overall accuracy and 0.71 in Kappa by disentangling classification confusions. OBIA with multiple GLCM texture measures are expected to be a useful approach to automatically classify forest types. In addition, OBIA will play a role in closely coupling remote sensing and GIS with its ability to create a GIS database to be utilized for further GIS analyses. Advisors/Committee Members: Marguerite Madden.

Subjects/Keywords: Object-based image analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Kim, M. (2009). Object-based spatial classification of forest vegetation with IKONOS imagery. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/kim_minho_200905_phd

Chicago Manual of Style (16^th Edition):

Kim, Minho. “Object-based spatial classification of forest vegetation with IKONOS imagery.” 2009. Doctoral Dissertation, University of Georgia. Accessed February 26, 2020. http://purl.galileo.usg.edu/uga_etd/kim_minho_200905_phd.

MLA Handbook (7^th Edition):

Kim, Minho. “Object-based spatial classification of forest vegetation with IKONOS imagery.” 2009. Web. 26 Feb 2020.

Vancouver:

Kim M. Object-based spatial classification of forest vegetation with IKONOS imagery. [Internet] [Doctoral dissertation]. University of Georgia; 2009. [cited 2020 Feb 26]. Available from: http://purl.galileo.usg.edu/uga_etd/kim_minho_200905_phd.

Council of Science Editors:

Kim M. Object-based spatial classification of forest vegetation with IKONOS imagery. [Doctoral Dissertation]. University of Georgia; 2009. Available from: http://purl.galileo.usg.edu/uga_etd/kim_minho_200905_phd

University of Alberta

13. Leo, Shaun S. Measurement and Analysis of Changes in Drop Size Distribution during Bitumen Clarification using Image Analysis.

Degree: MS, Department of Chemical and Materials Engineering, 2013, University of Alberta

URL: https://era.library.ualberta.ca/files/tx31qk01j

► The impact of mixing on demulsifier performance is studied using image analysis. Three experimental campaigns based on fractional factorial designs were performed in a CIST… (more)

Subjects/Keywords: Image Analysis; Bitumen Clarification; Mixing

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APA (6^th Edition):

Leo, S. S. (2013). Measurement and Analysis of Changes in Drop Size Distribution during Bitumen Clarification using Image Analysis. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/tx31qk01j

Chicago Manual of Style (16^th Edition):

Leo, Shaun S. “Measurement and Analysis of Changes in Drop Size Distribution during Bitumen Clarification using Image Analysis.” 2013. Masters Thesis, University of Alberta. Accessed February 26, 2020. https://era.library.ualberta.ca/files/tx31qk01j.

MLA Handbook (7^th Edition):

Leo, Shaun S. “Measurement and Analysis of Changes in Drop Size Distribution during Bitumen Clarification using Image Analysis.” 2013. Web. 26 Feb 2020.

Vancouver:

Leo SS. Measurement and Analysis of Changes in Drop Size Distribution during Bitumen Clarification using Image Analysis. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2020 Feb 26]. Available from: https://era.library.ualberta.ca/files/tx31qk01j.

Council of Science Editors:

Leo SS. Measurement and Analysis of Changes in Drop Size Distribution during Bitumen Clarification using Image Analysis. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/tx31qk01j

University of Notre Dame

14. Peter James Bui. AIR: Accelerated Image Registration</h1>.

Degree: MSin Computer Science and Engineering, Computer Science and Engineering, 2010, University of Notre Dame

URL: https://curate.nd.edu/show/d217qn61s8s

► This thesis presents a performance analysis of an accelerated 2-D rigid image registration implementation that employs the Compute Unified Device Architecture (CUDA) programming environment… (more)

Subjects/Keywords: performance analysis; gpgpu; image registration

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APA (6^th Edition):

Bui, P. J. (2010). AIR: Accelerated Image Registration</h1>. (Masters Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/d217qn61s8s

Chicago Manual of Style (16^th Edition):

Bui, Peter James. “AIR: Accelerated Image Registration</h1>.” 2010. Masters Thesis, University of Notre Dame. Accessed February 26, 2020. https://curate.nd.edu/show/d217qn61s8s.

MLA Handbook (7^th Edition):

Bui, Peter James. “AIR: Accelerated Image Registration</h1>.” 2010. Web. 26 Feb 2020.

Vancouver:

Bui PJ. AIR: Accelerated Image Registration</h1>. [Internet] [Masters thesis]. University of Notre Dame; 2010. [cited 2020 Feb 26]. Available from: https://curate.nd.edu/show/d217qn61s8s.

Council of Science Editors:

Bui PJ. AIR: Accelerated Image Registration</h1>. [Masters Thesis]. University of Notre Dame; 2010. Available from: https://curate.nd.edu/show/d217qn61s8s

Universidade do Minho

15. Silva, Vitor Damião Baixinho da. Image analysis of Saccharomyces cerevisiae cells : development of a plugin for IMAGEJ .

Degree: 2014, Universidade do Minho

URL: http://hdl.handle.net/1822/37076

► The yeast Saccharomyces cerevisiae is one of the microorganisms with increased use at industrial, academic and scientific level. The easy growth in any culture medium,… (more)

Subjects/Keywords: S. cerevisiae; ImageJ; Image analysis

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APA (6^th Edition):

Silva, V. D. B. d. (2014). Image analysis of Saccharomyces cerevisiae cells : development of a plugin for IMAGEJ . (Masters Thesis). Universidade do Minho. Retrieved from http://hdl.handle.net/1822/37076

Chicago Manual of Style (16^th Edition):

Silva, Vitor Damião Baixinho da. “Image analysis of Saccharomyces cerevisiae cells : development of a plugin for IMAGEJ .” 2014. Masters Thesis, Universidade do Minho. Accessed February 26, 2020. http://hdl.handle.net/1822/37076.

MLA Handbook (7^th Edition):

Silva, Vitor Damião Baixinho da. “Image analysis of Saccharomyces cerevisiae cells : development of a plugin for IMAGEJ .” 2014. Web. 26 Feb 2020.

Vancouver:

Silva VDBd. Image analysis of Saccharomyces cerevisiae cells : development of a plugin for IMAGEJ . [Internet] [Masters thesis]. Universidade do Minho; 2014. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/1822/37076.

Council of Science Editors:

Silva VDBd. Image analysis of Saccharomyces cerevisiae cells : development of a plugin for IMAGEJ . [Masters Thesis]. Universidade do Minho; 2014. Available from: http://hdl.handle.net/1822/37076

University of Victoria

16. Svendsen, Jeremy Paul. Chart Detection and Recognition in Graphics Intensive Business Documents.

Degree: Department of Electrical and Computer Engineering, 2015, University of Victoria

URL: http://hdl.handle.net/1828/6996

► Document image analysis involves the recognition and understanding of document images using computer vision techniques. The research described in this thesis relates to the recognition… (more)

Subjects/Keywords: Computer Vision; Document Image Analysis

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APA (6^th Edition):

Svendsen, J. P. (2015). Chart Detection and Recognition in Graphics Intensive Business Documents. (Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/6996

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Svendsen, Jeremy Paul. “Chart Detection and Recognition in Graphics Intensive Business Documents.” 2015. Thesis, University of Victoria. Accessed February 26, 2020. http://hdl.handle.net/1828/6996.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Svendsen, Jeremy Paul. “Chart Detection and Recognition in Graphics Intensive Business Documents.” 2015. Web. 26 Feb 2020.

Vancouver:

Svendsen JP. Chart Detection and Recognition in Graphics Intensive Business Documents. [Internet] [Thesis]. University of Victoria; 2015. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/1828/6996.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Svendsen JP. Chart Detection and Recognition in Graphics Intensive Business Documents. [Thesis]. University of Victoria; 2015. Available from: http://hdl.handle.net/1828/6996

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Virginia Tech

17. Bilodeau, Gregory Peter. Automated Seed Point Selection in Confocal Image Stacks of Neuron Cells.

Degree: MS, Computer Science, 2013, Virginia Tech

URL: http://hdl.handle.net/10919/23328

► This paper provides a fully automated method of finding high-quality seed points in 3D space from a stack of images of neuron cells. These seed… (more)

Subjects/Keywords: Neuron tracing; DIADEM; image analysis

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APA (6^th Edition):

Bilodeau, G. P. (2013). Automated Seed Point Selection in Confocal Image Stacks of Neuron Cells. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/23328

Chicago Manual of Style (16^th Edition):

Bilodeau, Gregory Peter. “Automated Seed Point Selection in Confocal Image Stacks of Neuron Cells.” 2013. Masters Thesis, Virginia Tech. Accessed February 26, 2020. http://hdl.handle.net/10919/23328.

MLA Handbook (7^th Edition):

Bilodeau, Gregory Peter. “Automated Seed Point Selection in Confocal Image Stacks of Neuron Cells.” 2013. Web. 26 Feb 2020.

Vancouver:

Bilodeau GP. Automated Seed Point Selection in Confocal Image Stacks of Neuron Cells. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/10919/23328.

Council of Science Editors:

Bilodeau GP. Automated Seed Point Selection in Confocal Image Stacks of Neuron Cells. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/23328

Delft University of Technology

18. Faas, F.G.A. Orientation Analysis; multi-valuedness and shape descriptors.

Degree: 2010, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:32eede6d-53ce-4152-832a-899f00211466 ; urn:NBN:nl:ui:24-uuid:32eede6d-53ce-4152-832a-899f00211466 ; urn:NBN:nl:ui:24-uuid:32eede6d-53ce-4152-832a-899f00211466 ; http://resolver.tudelft.nl/uuid:32eede6d-53ce-4152-832a-899f00211466

Subjects/Keywords: image analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Faas, F. G. A. (2010). Orientation Analysis; multi-valuedness and shape descriptors. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:32eede6d-53ce-4152-832a-899f00211466 ; urn:NBN:nl:ui:24-uuid:32eede6d-53ce-4152-832a-899f00211466 ; urn:NBN:nl:ui:24-uuid:32eede6d-53ce-4152-832a-899f00211466 ; http://resolver.tudelft.nl/uuid:32eede6d-53ce-4152-832a-899f00211466

Chicago Manual of Style (16^th Edition):

Faas, F G A. “Orientation Analysis; multi-valuedness and shape descriptors.” 2010. Doctoral Dissertation, Delft University of Technology. Accessed February 26, 2020. http://resolver.tudelft.nl/uuid:32eede6d-53ce-4152-832a-899f00211466 ; urn:NBN:nl:ui:24-uuid:32eede6d-53ce-4152-832a-899f00211466 ; urn:NBN:nl:ui:24-uuid:32eede6d-53ce-4152-832a-899f00211466 ; http://resolver.tudelft.nl/uuid:32eede6d-53ce-4152-832a-899f00211466.

MLA Handbook (7^th Edition):

Faas, F G A. “Orientation Analysis; multi-valuedness and shape descriptors.” 2010. Web. 26 Feb 2020.

Vancouver:

Faas FGA. Orientation Analysis; multi-valuedness and shape descriptors. [Internet] [Doctoral dissertation]. Delft University of Technology; 2010. [cited 2020 Feb 26]. Available from: http://resolver.tudelft.nl/uuid:32eede6d-53ce-4152-832a-899f00211466 ; urn:NBN:nl:ui:24-uuid:32eede6d-53ce-4152-832a-899f00211466 ; urn:NBN:nl:ui:24-uuid:32eede6d-53ce-4152-832a-899f00211466 ; http://resolver.tudelft.nl/uuid:32eede6d-53ce-4152-832a-899f00211466.

Council of Science Editors:

Faas FGA. Orientation Analysis; multi-valuedness and shape descriptors. [Doctoral Dissertation]. Delft University of Technology; 2010. Available from: http://resolver.tudelft.nl/uuid:32eede6d-53ce-4152-832a-899f00211466 ; urn:NBN:nl:ui:24-uuid:32eede6d-53ce-4152-832a-899f00211466 ; urn:NBN:nl:ui:24-uuid:32eede6d-53ce-4152-832a-899f00211466 ; http://resolver.tudelft.nl/uuid:32eede6d-53ce-4152-832a-899f00211466

Delft University of Technology

19. Rosenbrand, E. Investigation into quantitative visualisation of suffusion:.

Degree: 2011, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:83256975-f1dc-4500-bdbc-b095346bb27c

► Suffusion is the process whereby seepage water removes fine grains from a soil, which can result in failure of the soil body. This poses a… (more)

▼ Suffusion is the process whereby seepage water removes fine grains from a soil, which can result in failure of the soil body. This poses a risk for structures founded on soils that are subjected to large hydraulic gradients, such as encountered near hydraulic dams or river levees. Currently, most experimental work on this topic is geared towards quantifying, both the hydraulic gradient at which suffusion initiates, and the flux of eroded material. The reported values vary widely among experiments. The variation in the results can be explained by taking into account the effect of different experimental conditions. The flux of eroded material is the result of the interplay between particle erosion and filtration within the soil. Visualisation experiments allow for the direct observation of this. The effect of experimental conditions on the individual mechanisms of filtration and erosion, as well as the interaction between these, can be studied. Thereby, visualisation experiments complement methods targeted at quantifying the mass flux leaving the sample. In this work, the movement of fine grains and the resulting change in the structure of the sample are studied. Common laboratory equipment is used to design a visualisation experiment. The acquired images are analysed using three different quantitative image analysis techniques, with the objective of gaining further insight into the mechanism of suffusion. Particle image velocimetry (PIV) is an Eulerian method that is applied to determine velocity fields in fluid mechanics and granular flows. During suffusion, the velocity field is discontinuous; fine grains move whilst the coarse grains form a relatively fixed skeleton. This makes PIV less useful for the study of suffusion. To determine the displacement of individual particles, a Lagrangian method of particle tracking is considered. In the experimental setup used, fine grains are only tracked for a short length of time. This is due to both the large particle displacement between successive images, and the fact that other grains obscure the tracked particles from the camera. These difficulties can be remediated by improvement of the experimental procedure; the former by a higher acquisition rate, and the latter by use of a transparent granular medium where only the tracer particles are visible. With the apparatus used in this work, the temporal resolution is such that particle displacement cannot be studied unambiguously. Instead, a method of image subtraction (IS) is used that is geared towards quantifying the amount of material that moves. This yields data that can be interpreted to study both how much movement occurs, and where the movement occurs. Furthermore, IS is used to quantify the total change in the structure of the soil sample. Tests indicate that the load history plays an important role during suffusion. Erosion and filtration cause the soil structure to change, which has a direct effect on further particle transport in the sample. Therefore, the relation between three parameters: the number of moving… Advisors/Committee Members: Hicks, M.A., Dijkstra, J., Van Beek, V.M., Van Paassen, L.A., Heimovaara, T.J..

Subjects/Keywords: image analysis; suffusion; visualisation

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APA (6^th Edition):

Rosenbrand, E. (2011). Investigation into quantitative visualisation of suffusion:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:83256975-f1dc-4500-bdbc-b095346bb27c

Chicago Manual of Style (16^th Edition):

Rosenbrand, E. “Investigation into quantitative visualisation of suffusion:.” 2011. Masters Thesis, Delft University of Technology. Accessed February 26, 2020. http://resolver.tudelft.nl/uuid:83256975-f1dc-4500-bdbc-b095346bb27c.

MLA Handbook (7^th Edition):

Rosenbrand, E. “Investigation into quantitative visualisation of suffusion:.” 2011. Web. 26 Feb 2020.

Vancouver:

Rosenbrand E. Investigation into quantitative visualisation of suffusion:. [Internet] [Masters thesis]. Delft University of Technology; 2011. [cited 2020 Feb 26]. Available from: http://resolver.tudelft.nl/uuid:83256975-f1dc-4500-bdbc-b095346bb27c.

Council of Science Editors:

Rosenbrand E. Investigation into quantitative visualisation of suffusion:. [Masters Thesis]. Delft University of Technology; 2011. Available from: http://resolver.tudelft.nl/uuid:83256975-f1dc-4500-bdbc-b095346bb27c

East Carolina University

20. Adeli, Hossein. Modeling Salient Object-Object Interactions to Generate Textual Descriptions for Natural Images.

Degree: 2012, East Carolina University

URL: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=14332

► In this thesis we consider the problem of automatically generating textual descriptions of images which is useful in many applications. For example searching and retrieving… (more)

Subjects/Keywords: Imaging systems; Image analysis; Metadata

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Adeli, H. (2012). Modeling Salient Object-Object Interactions to Generate Textual Descriptions for Natural Images. (Masters Thesis). East Carolina University. Retrieved from http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=14332

Chicago Manual of Style (16^th Edition):

Adeli, Hossein. “Modeling Salient Object-Object Interactions to Generate Textual Descriptions for Natural Images.” 2012. Masters Thesis, East Carolina University. Accessed February 26, 2020. http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=14332.

MLA Handbook (7^th Edition):

Adeli, Hossein. “Modeling Salient Object-Object Interactions to Generate Textual Descriptions for Natural Images.” 2012. Web. 26 Feb 2020.

Vancouver:

Adeli H. Modeling Salient Object-Object Interactions to Generate Textual Descriptions for Natural Images. [Internet] [Masters thesis]. East Carolina University; 2012. [cited 2020 Feb 26]. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=14332.

Council of Science Editors:

Adeli H. Modeling Salient Object-Object Interactions to Generate Textual Descriptions for Natural Images. [Masters Thesis]. East Carolina University; 2012. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=14332

21. Kaeli, Jeffrey W. Computational strategies for understanding underwater optical image datasets.

Degree: 2013, MIT and Woods Hole Oceanographic Institution

URL: http://hdl.handle.net/1912/6237

► A fundamental problem in autonomous underwater robotics is the high latency between the capture of image data and the time at which operators are able… (more)

Subjects/Keywords: Remote submersibles; Image analysis

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APA (6^th Edition):

Kaeli, J. W. (2013). Computational strategies for understanding underwater optical image datasets. (Thesis). MIT and Woods Hole Oceanographic Institution. Retrieved from http://hdl.handle.net/1912/6237

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Kaeli, Jeffrey W. “Computational strategies for understanding underwater optical image datasets.” 2013. Thesis, MIT and Woods Hole Oceanographic Institution. Accessed February 26, 2020. http://hdl.handle.net/1912/6237.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Kaeli, Jeffrey W. “Computational strategies for understanding underwater optical image datasets.” 2013. Web. 26 Feb 2020.

Vancouver:

Kaeli JW. Computational strategies for understanding underwater optical image datasets. [Internet] [Thesis]. MIT and Woods Hole Oceanographic Institution; 2013. [cited 2020 Feb 26]. Available from: http://hdl.handle.net/1912/6237.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kaeli JW. Computational strategies for understanding underwater optical image datasets. [Thesis]. MIT and Woods Hole Oceanographic Institution; 2013. Available from: http://hdl.handle.net/1912/6237

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Oxford

22. Othman, Khair Razlan. Learning sonographic views using a multiple proposal approach.

Degree: PhD, 2019, University of Oxford

URL: http://ora.ox.ac.uk/objects/uuid:128be599-c482-423a-8046-3920b428fbef ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.791712

► Accurate fetal biometric measurement and diagnosis rely on the quality of acquisition of 2D ultrasound (US) diagnostic planes. Optimal imaging output mostly depends on the… (more)

▼ Accurate fetal biometric measurement and diagnosis rely on the quality of acquisition of 2D ultrasound (US) diagnostic planes. Optimal imaging output mostly depends on the ability of the sonographer to identify and localise a set of key anatomical landmarks which normally exhibit certain geometrical relationship patterns. Localisation of structures in US can be challenging because of the variability of image appearance and pose with respect to the transducer. In this doctoral thesis, a multiple proposal approach is introduced to facilitate an automatic localisation of multiple anatomical structures. Inspired by the image acquisition process, the knowledge of the sonographer is modelled implicitly in a multiple-stage hypothesis learning framework based on a database of 2D fetal US images acquired from multiple arbitrary orientations. Information learned from each stage allows the model to incorporate geometric constraints in a structured manner which further helps to reduce the number of possible valid hypotheses due to the variety of viewpoints and articulations. In return, the multiple proposal framework ensures good recall and precise localisation of key anatomical structures on unconstrained images of arbitrary viewing angles. There are a couple of key research contributions brought forward by this doctoral thesis. Firstly, a comprehensive dataset with annotated ground truth for respective anatomical structures in each image is explicitly described. This dataset includes images from multiple machines and sonographers' expertise, thereby guaranteeing a collection of challenging images of various shapes, textures and layout configurations. An efficient coarse classifier based on integral channel features is then designed to provide automatic abdomen localisation. This first-stage proposal investigates a simple yet elegant implementation of a soft-cascade rejection threshold architecture with score recalibration and shows its impending practicality for US image object detection at potentially real-time speed. This improves object recall at a much-reduced time complexity. Next, an automated segmentation-driven detection technique based on probabilistic superpixels-based Bag-of-Words (BOW) is presented. It is shown that this model, which is largely inspired by perceptual grouping of low level and mid-level image descriptors, is a good alternative to a conventional sliding-window mechanism in localising multiple key anatomical structures, such as the stomach and the umbilical vein (UV). This is achieved by reducing searching time and complexity compared to multi-scale sliding mechanism, and by jointly learning and modelling the spatial relationship of multi-class objects at training and testing time. Using this approach, the model transforms a pixel-wise probabilistic output into meaningful objects based on the knowledge of neighbouring superpixel regions, thus refining the location of these key structures. This method improves the average precision of the object detection (specifically for structures of deformable…

Subjects/Keywords: Medical Image Analysis; Computer Vision

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Othman, K. R. (2019). Learning sonographic views using a multiple proposal approach. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:128be599-c482-423a-8046-3920b428fbef ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.791712

Chicago Manual of Style (16^th Edition):

Othman, Khair Razlan. “Learning sonographic views using a multiple proposal approach.” 2019. Doctoral Dissertation, University of Oxford. Accessed February 26, 2020. http://ora.ox.ac.uk/objects/uuid:128be599-c482-423a-8046-3920b428fbef ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.791712.

MLA Handbook (7^th Edition):

Othman, Khair Razlan. “Learning sonographic views using a multiple proposal approach.” 2019. Web. 26 Feb 2020.

Vancouver:

Othman KR. Learning sonographic views using a multiple proposal approach. [Internet] [Doctoral dissertation]. University of Oxford; 2019. [cited 2020 Feb 26]. Available from: http://ora.ox.ac.uk/objects/uuid:128be599-c482-423a-8046-3920b428fbef ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.791712.

Council of Science Editors:

Othman KR. Learning sonographic views using a multiple proposal approach. [Doctoral Dissertation]. University of Oxford; 2019. Available from: http://ora.ox.ac.uk/objects/uuid:128be599-c482-423a-8046-3920b428fbef ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.791712

Rutgers University

23. Kim, Jongpil, 1977-. Discovering visual saliency for image analysis.

Degree: PhD, Computer Science, 2017, Rutgers University

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/52218/

► Salient object detection is a key step in many image analysis tasks such as object detection and image segmentation, as it not only identifies relevant… (more)

▼ Salient object detection is a key step in many image analysis tasks such as object detection and image segmentation, as it not only identifies relevant parts of a visual scene but may also reduce computational complexity by filtering out irrelevant segments of the scene. Traditional methods of salient object detection are based on binary classification to determine whether a given pixel or region belongs to a salient object. However, binary classification-based approaches are limited because they ignore the shape of the salient object by assigning a single output value to an input (pixel, patch, or superpixel). In this work, we introduce novel salient object detection methods that consider the shape of the object. We claim that encoding spatial image content to facilitate the information of the object shape can result in more-accurate prediction of the salient object than the traditional binary classification-based approaches. We propose two deep learning-based salient object detection methods to detect the object. The first proposed method combines a shape-preserving saliency prediction driven by a convolutional neural network (CNN) with pre-defined saliency shapes. Our model learns a saliency shape dictionary, which is subsequently used to train a CNN to predict the salient class of a target region and estimate the full, but coarse, saliency map of the target image. The map is then refined using image-specific, low- to mid-level information. In the second method, we explicitly predict the shape of the salient object using a specially designed CNN model. The proposed CNN model facilitates both global and local context of the image to produce better prediction than that obtained by considering only the local information. We train our models with pixel-wise annotated training data. Experimental results show that the proposed methods outperform previous state-of-the-art methods in salient object detection. Next, we propose novel methods to find characteristic landmarks and recognize ancient Roman imperial coins. The Roman coins play an important role in understanding the Roman Empire because they convey rich information about key historical events of the time. Moreover, as large amounts of coins are traded daily over the Internet, it becomes necessary to develop automatic coin recognition systems to prevent illegal trades. Because the coin images do not have the pixel-wise annotations, we use a weakly-supervised approach to discover the characteristic landmarks on the coin images instead of using the previously mentioned models. For this purpose, we first propose a spatial-appearance coin recognition system to visualize the contribution of the image regions on the Roman coins using Fisher vector representation. Next, we formulate an optimization task to discover class-specific salient coin regions using CNNs. Analysis of discovered salient regions confirms that they are largely consistent with human expert annotations. Experimental results show that the proposed methods can effectively recognize the… Advisors/Committee Members: Pavlovic, Vladimir (chair), Elgammal, Ahmed (internal member), Michmizos, Konstantinos (internal member), Nguyen, Minh Hoai (outside member).

Subjects/Keywords: Computer vision; Image analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Kim, Jongpil, 1. (2017). Discovering visual saliency for image analysis. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/52218/

Chicago Manual of Style (16^th Edition):

Kim, Jongpil, 1977-. “Discovering visual saliency for image analysis.” 2017. Doctoral Dissertation, Rutgers University. Accessed February 26, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/52218/.

MLA Handbook (7^th Edition):

Kim, Jongpil, 1977-. “Discovering visual saliency for image analysis.” 2017. Web. 26 Feb 2020.

Vancouver:

Kim, Jongpil 1. Discovering visual saliency for image analysis. [Internet] [Doctoral dissertation]. Rutgers University; 2017. [cited 2020 Feb 26]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/52218/.

Council of Science Editors:

Kim, Jongpil 1. Discovering visual saliency for image analysis. [Doctoral Dissertation]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/52218/

Purdue University

24. Davis, Nathan Bellemore. GRANULATION OF ULTRA-FINE POWDERS: EXAMINATION OF GRANULE MICROSTRUCTURE, CONSOLIDATION BEHAVIOR, AND POWDER FEEDING.

Degree: PhD, Chemical Engineering, 2015, Purdue University

URL: https://docs.lib.purdue.edu/open_access_dissertations/1108

Davis, Nathan B. Ph.D., Purdue University, December 2015. Granulation Behavior of Ultra-Fine Powders: Examination of Granule Microstructure, Consolidation Behavior, and Powder Feeding. Major Professor: James Litster Advisors/Committee Members: James Litster, Carl Wassgren, Michael Harris, Stephen Beaudoin.

Subjects/Keywords: Granulation; Image Analysis; Tomography

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APA (6^th Edition):

Davis, N. B. (2015). GRANULATION OF ULTRA-FINE POWDERS: EXAMINATION OF GRANULE MICROSTRUCTURE, CONSOLIDATION BEHAVIOR, AND POWDER FEEDING. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/1108

Chicago Manual of Style (16^th Edition):

Davis, Nathan Bellemore. “GRANULATION OF ULTRA-FINE POWDERS: EXAMINATION OF GRANULE MICROSTRUCTURE, CONSOLIDATION BEHAVIOR, AND POWDER FEEDING.” 2015. Doctoral Dissertation, Purdue University. Accessed February 26, 2020. https://docs.lib.purdue.edu/open_access_dissertations/1108.

MLA Handbook (7^th Edition):

Davis, Nathan Bellemore. “GRANULATION OF ULTRA-FINE POWDERS: EXAMINATION OF GRANULE MICROSTRUCTURE, CONSOLIDATION BEHAVIOR, AND POWDER FEEDING.” 2015. Web. 26 Feb 2020.

Vancouver:

Davis NB. GRANULATION OF ULTRA-FINE POWDERS: EXAMINATION OF GRANULE MICROSTRUCTURE, CONSOLIDATION BEHAVIOR, AND POWDER FEEDING. [Internet] [Doctoral dissertation]. Purdue University; 2015. [cited 2020 Feb 26]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1108.

Council of Science Editors:

Davis NB. GRANULATION OF ULTRA-FINE POWDERS: EXAMINATION OF GRANULE MICROSTRUCTURE, CONSOLIDATION BEHAVIOR, AND POWDER FEEDING. [Doctoral Dissertation]. Purdue University; 2015. Available from: https://docs.lib.purdue.edu/open_access_dissertations/1108

Halmstad University

25. Bengtsson, Matilda. Color adjustment of digital images of clothes for truthful rendering.

Degree: Halmstad Embedded and Intelligent Systems Research (EIS), 2016, Halmstad University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-31198

► E-commerce is a growing market for selling gods and digital images are often used to display the product. However, there is a problem when… (more)

Subjects/Keywords: White balance; image analysis

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APA (6^th Edition):

Bengtsson, M. (2016). Color adjustment of digital images of clothes for truthful rendering. (Thesis). Halmstad University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-31198

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Bengtsson, Matilda. “Color adjustment of digital images of clothes for truthful rendering.” 2016. Thesis, Halmstad University. Accessed February 26, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-31198.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Bengtsson, Matilda. “Color adjustment of digital images of clothes for truthful rendering.” 2016. Web. 26 Feb 2020.

Vancouver:

Bengtsson M. Color adjustment of digital images of clothes for truthful rendering. [Internet] [Thesis]. Halmstad University; 2016. [cited 2020 Feb 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-31198.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bengtsson M. Color adjustment of digital images of clothes for truthful rendering. [Thesis]. Halmstad University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-31198

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

26. So, Wai King. Learning-based dissimilarity measure for rigid and non-rigid medical image registration.

Degree: 2017, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-87953 ; https://doi.org/10.14711/thesis-b1778942 ; http://repository.ust.hk/ir/bitstream/1783.1-87953/1/th_redirect.html

► Image registration is widely used in different areas. It plays an important role in medical image analysis, group analysis and statistical parametric mapping. For the… (more)

Subjects/Keywords: Image registration ; Analysis ; Diagnostic imaging

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APA (6^th Edition):

So, W. K. (2017). Learning-based dissimilarity measure for rigid and non-rigid medical image registration. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-87953 ; https://doi.org/10.14711/thesis-b1778942 ; http://repository.ust.hk/ir/bitstream/1783.1-87953/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

So, Wai King. “Learning-based dissimilarity measure for rigid and non-rigid medical image registration.” 2017. Thesis, Hong Kong University of Science and Technology. Accessed February 26, 2020. http://repository.ust.hk/ir/Record/1783.1-87953 ; https://doi.org/10.14711/thesis-b1778942 ; http://repository.ust.hk/ir/bitstream/1783.1-87953/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

So, Wai King. “Learning-based dissimilarity measure for rigid and non-rigid medical image registration.” 2017. Web. 26 Feb 2020.

Vancouver:

So WK. Learning-based dissimilarity measure for rigid and non-rigid medical image registration. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2017. [cited 2020 Feb 26]. Available from: http://repository.ust.hk/ir/Record/1783.1-87953 ; https://doi.org/10.14711/thesis-b1778942 ; http://repository.ust.hk/ir/bitstream/1783.1-87953/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

So WK. Learning-based dissimilarity measure for rigid and non-rigid medical image registration. [Thesis]. Hong Kong University of Science and Technology; 2017. Available from: http://repository.ust.hk/ir/Record/1783.1-87953 ; https://doi.org/10.14711/thesis-b1778942 ; http://repository.ust.hk/ir/bitstream/1783.1-87953/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Uppsala University

27. Dånmark, Anders. Volume measurement of wood disks.

Degree: Computerized Image Analysis and Human-Computer Interaction, 2013, Uppsala University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-212199

► At the Department of Forest Products at Swedish University of Agricultural Sciences different metrics for wood are used. The volume of wood disks' is… (more)

Subjects/Keywords: image analysis; Computer Engineering; Datorteknik

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APA (6^th Edition):

Dånmark, A. (2013). Volume measurement of wood disks. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-212199

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Dånmark, Anders. “Volume measurement of wood disks.” 2013. Thesis, Uppsala University. Accessed February 26, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-212199.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Dånmark, Anders. “Volume measurement of wood disks.” 2013. Web. 26 Feb 2020.

Vancouver:

Dånmark A. Volume measurement of wood disks. [Internet] [Thesis]. Uppsala University; 2013. [cited 2020 Feb 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-212199.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dånmark A. Volume measurement of wood disks. [Thesis]. Uppsala University; 2013. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-212199

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Virginia Commonwealth University

28. Fang, Yan. Simulation, measurement and Image analysis of corrosion initiation and growth rate for Aluminum 2024 and Steel 304.

Degree: MS, Mechanical and Nuclear Engineering, 2011, Virginia Commonwealth University

URL: https://doi.org/10.25772/489N-1Q98 ; https://scholarscompass.vcu.edu/etd/2569

► Abstract SIMULATION, MEASUREMENT AND IMAGE ANALYSIS OF CORROSION INITIATION AND GROWTH RATE OF ALUMIUM 2024 AND STEEL 304 By Yan Fang, MS A thesis submitted… (more)

Subjects/Keywords: Image analysis; corrosion; Engineering

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APA (6^th Edition):

Fang, Y. (2011). Simulation, measurement and Image analysis of corrosion initiation and growth rate for Aluminum 2024 and Steel 304. (Thesis). Virginia Commonwealth University. Retrieved from https://doi.org/10.25772/489N-1Q98 ; https://scholarscompass.vcu.edu/etd/2569

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Fang, Yan. “Simulation, measurement and Image analysis of corrosion initiation and growth rate for Aluminum 2024 and Steel 304.” 2011. Thesis, Virginia Commonwealth University. Accessed February 26, 2020. https://doi.org/10.25772/489N-1Q98 ; https://scholarscompass.vcu.edu/etd/2569.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Fang, Yan. “Simulation, measurement and Image analysis of corrosion initiation and growth rate for Aluminum 2024 and Steel 304.” 2011. Web. 26 Feb 2020.

Vancouver:

Fang Y. Simulation, measurement and Image analysis of corrosion initiation and growth rate for Aluminum 2024 and Steel 304. [Internet] [Thesis]. Virginia Commonwealth University; 2011. [cited 2020 Feb 26]. Available from: https://doi.org/10.25772/489N-1Q98 ; https://scholarscompass.vcu.edu/etd/2569.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fang Y. Simulation, measurement and Image analysis of corrosion initiation and growth rate for Aluminum 2024 and Steel 304. [Thesis]. Virginia Commonwealth University; 2011. Available from: https://doi.org/10.25772/489N-1Q98 ; https://scholarscompass.vcu.edu/etd/2569

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

29. Adeli, Hossein. Modeling Salient Object-Object Interactions to Generate Textual Descriptions for Natural Images.

Degree: 2012, NC Docks

URL: http://libres.uncg.edu/ir/ecu/f/0000-embargo-holder.txt

► In this thesis we consider the problem of automatically generating textual descriptions of images which is useful in many applications. For example searching and retrieving… (more)

Subjects/Keywords: Imaging systems; Image analysis; Metadata

Record Details Similar Records Cite « Share

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Adeli, H. (2012). Modeling Salient Object-Object Interactions to Generate Textual Descriptions for Natural Images. (Thesis). NC Docks. Retrieved from http://libres.uncg.edu/ir/ecu/f/0000-embargo-holder.txt

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Adeli, Hossein. “Modeling Salient Object-Object Interactions to Generate Textual Descriptions for Natural Images.” 2012. Thesis, NC Docks. Accessed February 26, 2020. http://libres.uncg.edu/ir/ecu/f/0000-embargo-holder.txt.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Adeli, Hossein. “Modeling Salient Object-Object Interactions to Generate Textual Descriptions for Natural Images.” 2012. Web. 26 Feb 2020.

Vancouver:

Adeli H. Modeling Salient Object-Object Interactions to Generate Textual Descriptions for Natural Images. [Internet] [Thesis]. NC Docks; 2012. [cited 2020 Feb 26]. Available from: http://libres.uncg.edu/ir/ecu/f/0000-embargo-holder.txt.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Adeli H. Modeling Salient Object-Object Interactions to Generate Textual Descriptions for Natural Images. [Thesis]. NC Docks; 2012. Available from: http://libres.uncg.edu/ir/ecu/f/0000-embargo-holder.txt

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Southern California

30. Woo, Jonghye. Variational techniques for cardiac image analysis: algorithms and applications.

Degree: PhD, Electrical Engineering, 2009, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/268111/rec/7806

► In this dissertation we investigate several image segmentation and registration techniques based on the variational formulation for medical imaging applications. The five main research results… (more)

▼ In this dissertation we investigate several image segmentation and registration techniques based on the variational formulation for medical imaging applications. The five main research results are summarized below.; First, a novel segmentation approach is proposed to jointly delineate the boundaries of epi- and endocardium of the left ventricle on Magnetic Resonance Imaging (MRI) under a variational framework using level sets. While most left ventricle segmentation approaches incorporate a shape prior obtained by a training process from an ensemble of examples, we exploit a novel shape constraint using an implicit shape prior knowledge, which assumes shape similarity between epi- and endocardium allowing a variation under the Gaussian distribution.; Second, we examine multi-modal data integration with an electroanatomic mapping (EAM) data and MRI images for computer-aided catheter ablation of atrial fibrillation accurately. Specifically, we propose a variational formulation for surface reconstruction and incorporate the prior shape knowledge, which results in a level set method. The proposed method enables simultaneous reconstruction and registration under nonlinear deformation.; Third, a fully automated registration method is presented utilizing geometric features from a reliable segmentation of gated myocardial perfusion SPECT (MPS) volumes, where regions of myocardium and blood pools are extracted and used as an anatomical mask to de-emphasize the inhomogeneities of intensity distribution caused by perfusion defects and physiological variations. A multi-resolution approach is employed to represent coarse-to-fine details of both volumes. The extracted voxels from each level are aligned using a similarity measure with a piecewise constant image model and minimized using a gradient descent method. We then perform limited nonlinear registration of gated MPS to adjust for phase differences by automatic cardiac phase matching between CT and MPS. For phase matching, we incorporate nonlinear registration using thin-plate-spline-based warping; Fourth, a nonlinear ultrasound image registration method is proposed using the intensity andthe local phase information under a variational framework. One application of this technique isto register two consecutive images in an ultrasound image sequence. Although intensity is themost widely used feature in traditional ultrasound image registration algorithms, speckle noiseand lower image resolution make the registration process difficult. By integrating the intensityand the local phase information, we can find and track the nonlinear transformation of each pixelunder diffeomorphism between the source and target images.; Finally, we develop a fully automatic and accurate nonlinear volume registration for longitudinalCoronary CT angiography (CCTA) scan pairs. The proposed algorithm combines global displacement and local deformation using nonlinear volume co-registration with a volume-preserving constraint. Histogram matching of intensities between two serial scans is performed prior to… Advisors/Committee Members: Kuo, C.-C. Jay (Committee Chair), Nayak, Krishna S. (Committee Member), Shung, Kirk K. (Committee Member), Slomka, Piotr (Committee Member).

Subjects/Keywords: cardiac image analysis; image registration; image segmentation; variational method

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APA (6^th Edition):

Woo, J. (2009). Variational techniques for cardiac image analysis: algorithms and applications. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/268111/rec/7806

Chicago Manual of Style (16^th Edition):

Woo, Jonghye. “Variational techniques for cardiac image analysis: algorithms and applications.” 2009. Doctoral Dissertation, University of Southern California. Accessed February 26, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/268111/rec/7806.

MLA Handbook (7^th Edition):

Woo, Jonghye. “Variational techniques for cardiac image analysis: algorithms and applications.” 2009. Web. 26 Feb 2020.

Vancouver:

Woo J. Variational techniques for cardiac image analysis: algorithms and applications. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Feb 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/268111/rec/7806.

Council of Science Editors:

Woo J. Variational techniques for cardiac image analysis: algorithms and applications. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/268111/rec/7806

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