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You searched for subject:(Image). Showing records 1 – 30 of 2655 total matches.

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1. Powers, Michael. Clouds: Walter Benjamin and the Rhetoric of the Image.

Degree: PhD, German Studies, 2015, Brown University

 This dissertation examines the central concept of the “image” in Walter Benjamin’s oeuvre, with particular attention to the recurrence of the figure of the cloud… (more)

Subjects/Keywords: Image

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

APA (6th Edition):

Powers, M. (2015). Clouds: Walter Benjamin and the Rhetoric of the Image. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:419534/

Chicago Manual of Style (16th Edition):

Powers, Michael. “Clouds: Walter Benjamin and the Rhetoric of the Image.” 2015. Doctoral Dissertation, Brown University. Accessed July 21, 2019. https://repository.library.brown.edu/studio/item/bdr:419534/.

MLA Handbook (7th Edition):

Powers, Michael. “Clouds: Walter Benjamin and the Rhetoric of the Image.” 2015. Web. 21 Jul 2019.

Vancouver:

Powers M. Clouds: Walter Benjamin and the Rhetoric of the Image. [Internet] [Doctoral dissertation]. Brown University; 2015. [cited 2019 Jul 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:419534/.

Council of Science Editors:

Powers M. Clouds: Walter Benjamin and the Rhetoric of the Image. [Doctoral Dissertation]. Brown University; 2015. Available from: https://repository.library.brown.edu/studio/item/bdr:419534/


Penn State University

2. Zang, Xiaonan. Ebus/ct Fusion for Image-guided Bronchoscopy.

Degree: PhD, Electrical Engineering, 2015, Penn State University

 Many technical innovations in multimodal radiologic imaging and bronchoscopy have arisen to improve lung-cancer staging techniques. Among the innovations, endobronchial ultrasound (EBUS), which provides live… (more)

Subjects/Keywords: image segmentation; image registration; ultrasound

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APA (6th Edition):

Zang, X. (2015). Ebus/ct Fusion for Image-guided Bronchoscopy. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/28651

Chicago Manual of Style (16th Edition):

Zang, Xiaonan. “Ebus/ct Fusion for Image-guided Bronchoscopy.” 2015. Doctoral Dissertation, Penn State University. Accessed July 21, 2019. https://etda.libraries.psu.edu/catalog/28651.

MLA Handbook (7th Edition):

Zang, Xiaonan. “Ebus/ct Fusion for Image-guided Bronchoscopy.” 2015. Web. 21 Jul 2019.

Vancouver:

Zang X. Ebus/ct Fusion for Image-guided Bronchoscopy. [Internet] [Doctoral dissertation]. Penn State University; 2015. [cited 2019 Jul 21]. Available from: https://etda.libraries.psu.edu/catalog/28651.

Council of Science Editors:

Zang X. Ebus/ct Fusion for Image-guided Bronchoscopy. [Doctoral Dissertation]. Penn State University; 2015. Available from: https://etda.libraries.psu.edu/catalog/28651


University of Georgia

3. Jarriel, Amanda Jackson. Eating disorders and body image: triangulating academic preparation, coaches and athletic trainers' beliefs, and female high school athletes' experiences.

Degree: PhD, Recreation and Leisure Studies, 2011, University of Georgia

 This study was performed to determine what training athletic training and coaching professionals receive within the realm of body image and eating disorders that prepare… (more)

Subjects/Keywords: Body image

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APA (6th Edition):

Jarriel, A. J. (2011). Eating disorders and body image: triangulating academic preparation, coaches and athletic trainers' beliefs, and female high school athletes' experiences. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/jarriel_amanda_j_201105_phd

Chicago Manual of Style (16th Edition):

Jarriel, Amanda Jackson. “Eating disorders and body image: triangulating academic preparation, coaches and athletic trainers' beliefs, and female high school athletes' experiences.” 2011. Doctoral Dissertation, University of Georgia. Accessed July 21, 2019. http://purl.galileo.usg.edu/uga_etd/jarriel_amanda_j_201105_phd.

MLA Handbook (7th Edition):

Jarriel, Amanda Jackson. “Eating disorders and body image: triangulating academic preparation, coaches and athletic trainers' beliefs, and female high school athletes' experiences.” 2011. Web. 21 Jul 2019.

Vancouver:

Jarriel AJ. Eating disorders and body image: triangulating academic preparation, coaches and athletic trainers' beliefs, and female high school athletes' experiences. [Internet] [Doctoral dissertation]. University of Georgia; 2011. [cited 2019 Jul 21]. Available from: http://purl.galileo.usg.edu/uga_etd/jarriel_amanda_j_201105_phd.

Council of Science Editors:

Jarriel AJ. Eating disorders and body image: triangulating academic preparation, coaches and athletic trainers' beliefs, and female high school athletes' experiences. [Doctoral Dissertation]. University of Georgia; 2011. Available from: http://purl.galileo.usg.edu/uga_etd/jarriel_amanda_j_201105_phd


University of Hong Kong

4. Sun, Xing. Nonparametric Bayesian methods for visual data association.

Degree: PhD, 2016, University of Hong Kong

 Visual data association, widely used in object modeling among multi-dimensional visual data, proves both useful and challenging. Manual preprocessing of object tracking is difficult and… (more)

Subjects/Keywords: Image processing

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APA (6th Edition):

Sun, X. (2016). Nonparametric Bayesian methods for visual data association. (Doctoral Dissertation). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/238349

Chicago Manual of Style (16th Edition):

Sun, Xing. “Nonparametric Bayesian methods for visual data association.” 2016. Doctoral Dissertation, University of Hong Kong. Accessed July 21, 2019. http://hdl.handle.net/10722/238349.

MLA Handbook (7th Edition):

Sun, Xing. “Nonparametric Bayesian methods for visual data association.” 2016. Web. 21 Jul 2019.

Vancouver:

Sun X. Nonparametric Bayesian methods for visual data association. [Internet] [Doctoral dissertation]. University of Hong Kong; 2016. [cited 2019 Jul 21]. Available from: http://hdl.handle.net/10722/238349.

Council of Science Editors:

Sun X. Nonparametric Bayesian methods for visual data association. [Doctoral Dissertation]. University of Hong Kong; 2016. Available from: http://hdl.handle.net/10722/238349


Georgia Tech

5. Vo, Nam Ngoc. Image Retrieval and Geolocalization with Deep Learning.

Degree: PhD, Interactive Computing, 2019, Georgia Tech

 This work studies image localization task and explores image ranking/retrieval approach. Deep Learning has advanced many computer vision task including image retrieval; in addition, location… (more)

Subjects/Keywords: Image geolocalization

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APA (6th Edition):

Vo, N. N. (2019). Image Retrieval and Geolocalization with Deep Learning. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61194

Chicago Manual of Style (16th Edition):

Vo, Nam Ngoc. “Image Retrieval and Geolocalization with Deep Learning.” 2019. Doctoral Dissertation, Georgia Tech. Accessed July 21, 2019. http://hdl.handle.net/1853/61194.

MLA Handbook (7th Edition):

Vo, Nam Ngoc. “Image Retrieval and Geolocalization with Deep Learning.” 2019. Web. 21 Jul 2019.

Vancouver:

Vo NN. Image Retrieval and Geolocalization with Deep Learning. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2019 Jul 21]. Available from: http://hdl.handle.net/1853/61194.

Council of Science Editors:

Vo NN. Image Retrieval and Geolocalization with Deep Learning. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61194


University of Illinois – Urbana-Champaign

6. Xia, Tian. A hybrid approach to problems in image processing.

Degree: PhD, 0112, 2010, University of Illinois – Urbana-Champaign

 Digital image processing generally refers to the use of computer algorithms that deal with operations on or analysis of digital images. It covers a wide… (more)

Subjects/Keywords: computer graphics; image processing; image vectorization; image segmentation; image classification

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APA (6th Edition):

Xia, T. (2010). A hybrid approach to problems in image processing. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16794

Chicago Manual of Style (16th Edition):

Xia, Tian. “A hybrid approach to problems in image processing.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 21, 2019. http://hdl.handle.net/2142/16794.

MLA Handbook (7th Edition):

Xia, Tian. “A hybrid approach to problems in image processing.” 2010. Web. 21 Jul 2019.

Vancouver:

Xia T. A hybrid approach to problems in image processing. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Jul 21]. Available from: http://hdl.handle.net/2142/16794.

Council of Science Editors:

Xia T. A hybrid approach to problems in image processing. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16794

7. Sun, Libin. The Devil is in the Details: Example-based Image Restoration and Detail Synthesis.

Degree: PhD, Computer Science, 2016, Brown University

 In our modern digital age, camera-equipped gadgets such as smart-phones and tablet devices let people capture and share increasing amounts of digital image data. However,… (more)

Subjects/Keywords: image restoration

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APA (6th Edition):

Sun, L. (2016). The Devil is in the Details: Example-based Image Restoration and Detail Synthesis. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:674410/

Chicago Manual of Style (16th Edition):

Sun, Libin. “The Devil is in the Details: Example-based Image Restoration and Detail Synthesis.” 2016. Doctoral Dissertation, Brown University. Accessed July 21, 2019. https://repository.library.brown.edu/studio/item/bdr:674410/.

MLA Handbook (7th Edition):

Sun, Libin. “The Devil is in the Details: Example-based Image Restoration and Detail Synthesis.” 2016. Web. 21 Jul 2019.

Vancouver:

Sun L. The Devil is in the Details: Example-based Image Restoration and Detail Synthesis. [Internet] [Doctoral dissertation]. Brown University; 2016. [cited 2019 Jul 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:674410/.

Council of Science Editors:

Sun L. The Devil is in the Details: Example-based Image Restoration and Detail Synthesis. [Doctoral Dissertation]. Brown University; 2016. Available from: https://repository.library.brown.edu/studio/item/bdr:674410/


University of Alberta

8. Popuri, Karteek. A unified FEM-based framework for medical image registration and segmentation.

Degree: PhD, Department of Computing Science, 2013, University of Alberta

 Medical image registration and segmentation are challenging because, medical images are generally corrupted by noise, image artifacts and the various anatomical regions of interest in… (more)

Subjects/Keywords: Finite element method; Image registration; Image segmentation

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APA (6th Edition):

Popuri, K. (2013). A unified FEM-based framework for medical image registration and segmentation. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/0z708w85q

Chicago Manual of Style (16th Edition):

Popuri, Karteek. “A unified FEM-based framework for medical image registration and segmentation.” 2013. Doctoral Dissertation, University of Alberta. Accessed July 21, 2019. https://era.library.ualberta.ca/files/0z708w85q.

MLA Handbook (7th Edition):

Popuri, Karteek. “A unified FEM-based framework for medical image registration and segmentation.” 2013. Web. 21 Jul 2019.

Vancouver:

Popuri K. A unified FEM-based framework for medical image registration and segmentation. [Internet] [Doctoral dissertation]. University of Alberta; 2013. [cited 2019 Jul 21]. Available from: https://era.library.ualberta.ca/files/0z708w85q.

Council of Science Editors:

Popuri K. A unified FEM-based framework for medical image registration and segmentation. [Doctoral Dissertation]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/0z708w85q


University of Hong Kong

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

Degree: PhD, 2011, University of Hong Kong

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 (6th 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 (16th 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 July 21, 2019. 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 (7th Edition):

Chen, Zhuo. “A methodology for trajectory based learning and prediction of human motions in visual surveillance.” 2011. Web. 21 Jul 2019.

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 2019 Jul 21]. 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 Hong Kong

10. Zhang, Jian. Image point matching in multiple-view object reconstruction from imagesequences.

Degree: PhD, 2012, University of Hong Kong

This thesis is concerned with three-dimensional (3D) reconstruction and point registration, which are fundamental topics of numerous applications in the area of computer vision. First,… (more)

Subjects/Keywords: Image reconstruction.; Three-dimensional imaging.; Image processing.

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APA (6th Edition):

Zhang, J. (2012). Image point matching in multiple-view object reconstruction from imagesequences. (Doctoral Dissertation). University of Hong Kong. Retrieved from Zhang, J. [张简]. (2012). Image point matching in multiple-view object reconstruction from image sequences. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4807985 ; http://dx.doi.org/10.5353/th_b4807985 ; http://hdl.handle.net/10722/161580

Chicago Manual of Style (16th Edition):

Zhang, Jian. “Image point matching in multiple-view object reconstruction from imagesequences.” 2012. Doctoral Dissertation, University of Hong Kong. Accessed July 21, 2019. Zhang, J. [张简]. (2012). Image point matching in multiple-view object reconstruction from image sequences. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4807985 ; http://dx.doi.org/10.5353/th_b4807985 ; http://hdl.handle.net/10722/161580.

MLA Handbook (7th Edition):

Zhang, Jian. “Image point matching in multiple-view object reconstruction from imagesequences.” 2012. Web. 21 Jul 2019.

Vancouver:

Zhang J. Image point matching in multiple-view object reconstruction from imagesequences. [Internet] [Doctoral dissertation]. University of Hong Kong; 2012. [cited 2019 Jul 21]. Available from: Zhang, J. [张简]. (2012). Image point matching in multiple-view object reconstruction from image sequences. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4807985 ; http://dx.doi.org/10.5353/th_b4807985 ; http://hdl.handle.net/10722/161580.

Council of Science Editors:

Zhang J. Image point matching in multiple-view object reconstruction from imagesequences. [Doctoral Dissertation]. University of Hong Kong; 2012. Available from: Zhang, J. [张简]. (2012). Image point matching in multiple-view object reconstruction from image sequences. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4807985 ; http://dx.doi.org/10.5353/th_b4807985 ; http://hdl.handle.net/10722/161580


University of Illinois – Urbana-Champaign

11. Singh, Abhishek. Learning to super-resolve images using self-similarities.

Degree: PhD, Electrical & Computer Engr, 2015, University of Illinois – Urbana-Champaign

 The single image super-resolution problem entails estimating a high-resolution version of a low-resolution image. Recent studies have shown that high resolution versions of the patches… (more)

Subjects/Keywords: Self-Similarity; Image Enhancement; Image Super-Resolution

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APA (6th Edition):

Singh, A. (2015). Learning to super-resolve images using self-similarities. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78325

Chicago Manual of Style (16th Edition):

Singh, Abhishek. “Learning to super-resolve images using self-similarities.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 21, 2019. http://hdl.handle.net/2142/78325.

MLA Handbook (7th Edition):

Singh, Abhishek. “Learning to super-resolve images using self-similarities.” 2015. Web. 21 Jul 2019.

Vancouver:

Singh A. Learning to super-resolve images using self-similarities. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Jul 21]. Available from: http://hdl.handle.net/2142/78325.

Council of Science Editors:

Singh A. Learning to super-resolve images using self-similarities. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78325


Oregon State University

12. Chen, Sheng. Object Tracking-by-Segmentation in Videos.

Degree: PhD, Computer Science, 2017, Oregon State University

 This thesis focuses on the problem of object tracking. Given a video, the general objective of tracking is to track the location over time of… (more)

Subjects/Keywords: Tracking; Image segmentation

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APA (6th Edition):

Chen, S. (2017). Object Tracking-by-Segmentation in Videos. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/60452

Chicago Manual of Style (16th Edition):

Chen, Sheng. “Object Tracking-by-Segmentation in Videos.” 2017. Doctoral Dissertation, Oregon State University. Accessed July 21, 2019. http://hdl.handle.net/1957/60452.

MLA Handbook (7th Edition):

Chen, Sheng. “Object Tracking-by-Segmentation in Videos.” 2017. Web. 21 Jul 2019.

Vancouver:

Chen S. Object Tracking-by-Segmentation in Videos. [Internet] [Doctoral dissertation]. Oregon State University; 2017. [cited 2019 Jul 21]. Available from: http://hdl.handle.net/1957/60452.

Council of Science Editors:

Chen S. Object Tracking-by-Segmentation in Videos. [Doctoral Dissertation]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/60452

13. Khan, Aftab. Efficient methodologies for single-image blind deconvolution and deblurring.

Degree: PhD, 2014, University of Manchester

 The Blind Image Deconvolution/Deblurring (BID) problem was realised in the early 1960s but it still remains a challenging task for the image processing research community… (more)

Subjects/Keywords: 621.36; Image Processing; Signal Processing; Blind image deblurring; Blind image deconvolution; Image Restoration

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APA (6th Edition):

Khan, A. (2014). Efficient methodologies for single-image blind deconvolution and deblurring. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/efficient-methodologies-for-singleimage-blind-deconvolution-and-deblurring(b4a2db2b-cb31-4082-ac9d-8d512dddce43).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.618015

Chicago Manual of Style (16th Edition):

Khan, Aftab. “Efficient methodologies for single-image blind deconvolution and deblurring.” 2014. Doctoral Dissertation, University of Manchester. Accessed July 21, 2019. https://www.research.manchester.ac.uk/portal/en/theses/efficient-methodologies-for-singleimage-blind-deconvolution-and-deblurring(b4a2db2b-cb31-4082-ac9d-8d512dddce43).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.618015.

MLA Handbook (7th Edition):

Khan, Aftab. “Efficient methodologies for single-image blind deconvolution and deblurring.” 2014. Web. 21 Jul 2019.

Vancouver:

Khan A. Efficient methodologies for single-image blind deconvolution and deblurring. [Internet] [Doctoral dissertation]. University of Manchester; 2014. [cited 2019 Jul 21]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/efficient-methodologies-for-singleimage-blind-deconvolution-and-deblurring(b4a2db2b-cb31-4082-ac9d-8d512dddce43).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.618015.

Council of Science Editors:

Khan A. Efficient methodologies for single-image blind deconvolution and deblurring. [Doctoral Dissertation]. University of Manchester; 2014. Available from: https://www.research.manchester.ac.uk/portal/en/theses/efficient-methodologies-for-singleimage-blind-deconvolution-and-deblurring(b4a2db2b-cb31-4082-ac9d-8d512dddce43).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.618015


McMaster University

14. Alemzadeh, Mehrdad. PATTERN RECOGNITION AND CLASSIFICATION OF CT IMAGES OF DIFFUSE LUNG DISEASES USING FEATURE EXTRACTION AND ARTIFICIAL NEURAL NETWORKS.

Degree: PhD, 2016, McMaster University

Diffuse Lung Diseases (DLD), impute to 15% of respiratory practice and are accountable for a large class of disorders, primarily affecting lung parenchyma. As a… (more)

Subjects/Keywords: Medical Image processing

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APA (6th Edition):

Alemzadeh, M. (2016). PATTERN RECOGNITION AND CLASSIFICATION OF CT IMAGES OF DIFFUSE LUNG DISEASES USING FEATURE EXTRACTION AND ARTIFICIAL NEURAL NETWORKS. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/19286

Chicago Manual of Style (16th Edition):

Alemzadeh, Mehrdad. “PATTERN RECOGNITION AND CLASSIFICATION OF CT IMAGES OF DIFFUSE LUNG DISEASES USING FEATURE EXTRACTION AND ARTIFICIAL NEURAL NETWORKS.” 2016. Doctoral Dissertation, McMaster University. Accessed July 21, 2019. http://hdl.handle.net/11375/19286.

MLA Handbook (7th Edition):

Alemzadeh, Mehrdad. “PATTERN RECOGNITION AND CLASSIFICATION OF CT IMAGES OF DIFFUSE LUNG DISEASES USING FEATURE EXTRACTION AND ARTIFICIAL NEURAL NETWORKS.” 2016. Web. 21 Jul 2019.

Vancouver:

Alemzadeh M. PATTERN RECOGNITION AND CLASSIFICATION OF CT IMAGES OF DIFFUSE LUNG DISEASES USING FEATURE EXTRACTION AND ARTIFICIAL NEURAL NETWORKS. [Internet] [Doctoral dissertation]. McMaster University; 2016. [cited 2019 Jul 21]. Available from: http://hdl.handle.net/11375/19286.

Council of Science Editors:

Alemzadeh M. PATTERN RECOGNITION AND CLASSIFICATION OF CT IMAGES OF DIFFUSE LUNG DISEASES USING FEATURE EXTRACTION AND ARTIFICIAL NEURAL NETWORKS. [Doctoral Dissertation]. McMaster University; 2016. Available from: http://hdl.handle.net/11375/19286

15. Yasheng, Maimaitijiang. Parallel image reconstruction systems for magnetic induction tomography.

Degree: PhD, 2009, University of South Wales

 Magnetic Induction Tomography (MIT) is a contactless and non-invasive method for imaging the passive electrical properties of objects. An MIT system employs an array of… (more)

Subjects/Keywords: 502.85; Image processing

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APA (6th Edition):

Yasheng, M. (2009). Parallel image reconstruction systems for magnetic induction tomography. (Doctoral Dissertation). University of South Wales. Retrieved from https://pure.southwales.ac.uk/en/studentthesis/parallel-image-reconstruction-systems-for-magnetic-induction-tomography(7fe91863-4322-4b16-9f11-2e53c56a7258).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.496048

Chicago Manual of Style (16th Edition):

Yasheng, Maimaitijiang. “Parallel image reconstruction systems for magnetic induction tomography.” 2009. Doctoral Dissertation, University of South Wales. Accessed July 21, 2019. https://pure.southwales.ac.uk/en/studentthesis/parallel-image-reconstruction-systems-for-magnetic-induction-tomography(7fe91863-4322-4b16-9f11-2e53c56a7258).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.496048.

MLA Handbook (7th Edition):

Yasheng, Maimaitijiang. “Parallel image reconstruction systems for magnetic induction tomography.” 2009. Web. 21 Jul 2019.

Vancouver:

Yasheng M. Parallel image reconstruction systems for magnetic induction tomography. [Internet] [Doctoral dissertation]. University of South Wales; 2009. [cited 2019 Jul 21]. Available from: https://pure.southwales.ac.uk/en/studentthesis/parallel-image-reconstruction-systems-for-magnetic-induction-tomography(7fe91863-4322-4b16-9f11-2e53c56a7258).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.496048.

Council of Science Editors:

Yasheng M. Parallel image reconstruction systems for magnetic induction tomography. [Doctoral Dissertation]. University of South Wales; 2009. Available from: https://pure.southwales.ac.uk/en/studentthesis/parallel-image-reconstruction-systems-for-magnetic-induction-tomography(7fe91863-4322-4b16-9f11-2e53c56a7258).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.496048

16. Almeida, Eduardo de Brito. Revisiting Normalized Cross-Correlation for Accurate Camera Pose Estimation and Accurate Real-Time Multiple View Stereo.

Degree: PhD, Electrical Sciences and Computer Engineering, 2015, Brown University

 Normalized cross-correlation (NCC) is a powerful matching tool used for finding corresponding features between two signals. In computer vision applications, NCC can be used to… (more)

Subjects/Keywords: image-based modeling

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APA (6th Edition):

Almeida, E. d. B. (2015). Revisiting Normalized Cross-Correlation for Accurate Camera Pose Estimation and Accurate Real-Time Multiple View Stereo. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:419427/

Chicago Manual of Style (16th Edition):

Almeida, Eduardo de Brito. “Revisiting Normalized Cross-Correlation for Accurate Camera Pose Estimation and Accurate Real-Time Multiple View Stereo.” 2015. Doctoral Dissertation, Brown University. Accessed July 21, 2019. https://repository.library.brown.edu/studio/item/bdr:419427/.

MLA Handbook (7th Edition):

Almeida, Eduardo de Brito. “Revisiting Normalized Cross-Correlation for Accurate Camera Pose Estimation and Accurate Real-Time Multiple View Stereo.” 2015. Web. 21 Jul 2019.

Vancouver:

Almeida EdB. Revisiting Normalized Cross-Correlation for Accurate Camera Pose Estimation and Accurate Real-Time Multiple View Stereo. [Internet] [Doctoral dissertation]. Brown University; 2015. [cited 2019 Jul 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:419427/.

Council of Science Editors:

Almeida EdB. Revisiting Normalized Cross-Correlation for Accurate Camera Pose Estimation and Accurate Real-Time Multiple View Stereo. [Doctoral Dissertation]. Brown University; 2015. Available from: https://repository.library.brown.edu/studio/item/bdr:419427/

17. Jiang, Wei. Qiao Zhongchang’s Illustration to the Second Prose Poem on the Red Cliff: Text and Image, Poetry and Painting, and Narrative and Lyrical.

Degree: PhD, History of Art and Architecture, 2016, Brown University

 Qiao Zhongchang’s (active early twelfth century) Red Cliff is a multiple-scene handscroll illustrating Su Shi’s (1037–1101) narrative poem, “The Second Prose Poem on the Red… (more)

Subjects/Keywords: text and image

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APA (6th Edition):

Jiang, W. (2016). Qiao Zhongchang’s Illustration to the Second Prose Poem on the Red Cliff: Text and Image, Poetry and Painting, and Narrative and Lyrical. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:674105/

Chicago Manual of Style (16th Edition):

Jiang, Wei. “Qiao Zhongchang’s Illustration to the Second Prose Poem on the Red Cliff: Text and Image, Poetry and Painting, and Narrative and Lyrical.” 2016. Doctoral Dissertation, Brown University. Accessed July 21, 2019. https://repository.library.brown.edu/studio/item/bdr:674105/.

MLA Handbook (7th Edition):

Jiang, Wei. “Qiao Zhongchang’s Illustration to the Second Prose Poem on the Red Cliff: Text and Image, Poetry and Painting, and Narrative and Lyrical.” 2016. Web. 21 Jul 2019.

Vancouver:

Jiang W. Qiao Zhongchang’s Illustration to the Second Prose Poem on the Red Cliff: Text and Image, Poetry and Painting, and Narrative and Lyrical. [Internet] [Doctoral dissertation]. Brown University; 2016. [cited 2019 Jul 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:674105/.

Council of Science Editors:

Jiang W. Qiao Zhongchang’s Illustration to the Second Prose Poem on the Red Cliff: Text and Image, Poetry and Painting, and Narrative and Lyrical. [Doctoral Dissertation]. Brown University; 2016. Available from: https://repository.library.brown.edu/studio/item/bdr:674105/

18. Ben-Zikri, Yehuda K. Development, Implementation and Pre-clinical Evaluation of Medical Image Computing Tools in Support of Computer-aided Diagnosis: Respiratory, Orthopedic and Cardiac Applications.

Degree: PhD, Chester F. Carlson Center for Imaging Science (COS), 2017, Rochester Institute of Technology

  Over the last decade, image processing tools have become crucial components of all clinical and research efforts involving medical imaging and associated applications. The… (more)

Subjects/Keywords: Image registration; Image segmentation; Image stitching; Localization; Medical image processing; Pulmonary nodules

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APA (6th Edition):

Ben-Zikri, Y. K. (2017). Development, Implementation and Pre-clinical Evaluation of Medical Image Computing Tools in Support of Computer-aided Diagnosis: Respiratory, Orthopedic and Cardiac Applications. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9476

Chicago Manual of Style (16th Edition):

Ben-Zikri, Yehuda K. “Development, Implementation and Pre-clinical Evaluation of Medical Image Computing Tools in Support of Computer-aided Diagnosis: Respiratory, Orthopedic and Cardiac Applications.” 2017. Doctoral Dissertation, Rochester Institute of Technology. Accessed July 21, 2019. https://scholarworks.rit.edu/theses/9476.

MLA Handbook (7th Edition):

Ben-Zikri, Yehuda K. “Development, Implementation and Pre-clinical Evaluation of Medical Image Computing Tools in Support of Computer-aided Diagnosis: Respiratory, Orthopedic and Cardiac Applications.” 2017. Web. 21 Jul 2019.

Vancouver:

Ben-Zikri YK. Development, Implementation and Pre-clinical Evaluation of Medical Image Computing Tools in Support of Computer-aided Diagnosis: Respiratory, Orthopedic and Cardiac Applications. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2017. [cited 2019 Jul 21]. Available from: https://scholarworks.rit.edu/theses/9476.

Council of Science Editors:

Ben-Zikri YK. Development, Implementation and Pre-clinical Evaluation of Medical Image Computing Tools in Support of Computer-aided Diagnosis: Respiratory, Orthopedic and Cardiac Applications. [Doctoral Dissertation]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9476


University of Southern California

19. Chen, Na. Understanding semantic relationships between data objects.

Degree: PhD, Computer Science, 2013, University of Southern California

 Understanding the semantic relationships between data objects has been a critical step towards getting useful semantic information for better integration, search and decision-making. This thesis… (more)

Subjects/Keywords: image semantics; image understanding; image clustering; image search; relationship ranking; semantic data mining; Semantic Web

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APA (6th Edition):

Chen, N. (2013). Understanding semantic relationships between data objects. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/310973/rec/7668

Chicago Manual of Style (16th Edition):

Chen, Na. “Understanding semantic relationships between data objects.” 2013. Doctoral Dissertation, University of Southern California. Accessed July 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/310973/rec/7668.

MLA Handbook (7th Edition):

Chen, Na. “Understanding semantic relationships between data objects.” 2013. Web. 21 Jul 2019.

Vancouver:

Chen N. Understanding semantic relationships between data objects. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Jul 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/310973/rec/7668.

Council of Science Editors:

Chen N. Understanding semantic relationships between data objects. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/310973/rec/7668


Vanderbilt University

20. Chen, Antong. Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy.

Degree: PhD, Electrical Engineering, 2012, Vanderbilt University

 Cancers in the head and neck region account for approximately 3 percent of all cancers in the United States, as it is reported by the… (more)

Subjects/Keywords: IMRT; image registration; medical image processing; image segmentaiton; active shape model

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APA (6th Edition):

Chen, A. (2012). Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-07252012-171548/ ;

Chicago Manual of Style (16th Edition):

Chen, Antong. “Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy.” 2012. Doctoral Dissertation, Vanderbilt University. Accessed July 21, 2019. http://etd.library.vanderbilt.edu/available/etd-07252012-171548/ ;.

MLA Handbook (7th Edition):

Chen, Antong. “Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy.” 2012. Web. 21 Jul 2019.

Vancouver:

Chen A. Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy. [Internet] [Doctoral dissertation]. Vanderbilt University; 2012. [cited 2019 Jul 21]. Available from: http://etd.library.vanderbilt.edu/available/etd-07252012-171548/ ;.

Council of Science Editors:

Chen A. Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy. [Doctoral Dissertation]. Vanderbilt University; 2012. Available from: http://etd.library.vanderbilt.edu/available/etd-07252012-171548/ ;


University of Southern California

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

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

 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)

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

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APA (6th 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 (16th Edition):

Woo, Jonghye. “Variational techniques for cardiac image analysis: algorithms and applications.” 2009. Doctoral Dissertation, University of Southern California. Accessed July 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/268111/rec/7806.

MLA Handbook (7th Edition):

Woo, Jonghye. “Variational techniques for cardiac image analysis: algorithms and applications.” 2009. Web. 21 Jul 2019.

Vancouver:

Woo J. Variational techniques for cardiac image analysis: algorithms and applications. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2019 Jul 21]. 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

22. Al-Azawi, Mohammad Ali Naji Said. A new approach to automatic saliency identification in images based on irregularity of regions.

Degree: PhD, 2015, De Montfort University

 This research introduces an image retrieval system which is, in different ways, inspired by the human vision system. The main problems with existing machine vision… (more)

Subjects/Keywords: 006.3; Image processing; Image Recognition; Image retrieval; Image saliency identification; human attention application in image retrieval; fuzzy thresholding; computational intelligence application in image

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APA (6th Edition):

Al-Azawi, M. A. N. S. (2015). A new approach to automatic saliency identification in images based on irregularity of regions. (Doctoral Dissertation). De Montfort University. Retrieved from http://hdl.handle.net/2086/11122

Chicago Manual of Style (16th Edition):

Al-Azawi, Mohammad Ali Naji Said. “A new approach to automatic saliency identification in images based on irregularity of regions.” 2015. Doctoral Dissertation, De Montfort University. Accessed July 21, 2019. http://hdl.handle.net/2086/11122.

MLA Handbook (7th Edition):

Al-Azawi, Mohammad Ali Naji Said. “A new approach to automatic saliency identification in images based on irregularity of regions.” 2015. Web. 21 Jul 2019.

Vancouver:

Al-Azawi MANS. A new approach to automatic saliency identification in images based on irregularity of regions. [Internet] [Doctoral dissertation]. De Montfort University; 2015. [cited 2019 Jul 21]. Available from: http://hdl.handle.net/2086/11122.

Council of Science Editors:

Al-Azawi MANS. A new approach to automatic saliency identification in images based on irregularity of regions. [Doctoral Dissertation]. De Montfort University; 2015. Available from: http://hdl.handle.net/2086/11122


Georgia Tech

23. Gao, Yi. Geometric statistically based methods for the segmentation and registration of medical imagery.

Degree: PhD, Biomedical Engineering, 2010, Georgia Tech

 Medical image analysis aims at developing techniques to extract information from medical images. Among its many sub-fields, image registration and segmentation are two important topics.… (more)

Subjects/Keywords: Computer vision; Medical image analysis; Image segmentation; Image registration; Shape analysis; Imaging systems in medicine; Image analysis; Image registration; Image processing Digital techniques

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APA (6th Edition):

Gao, Y. (2010). Geometric statistically based methods for the segmentation and registration of medical imagery. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/39644

Chicago Manual of Style (16th Edition):

Gao, Yi. “Geometric statistically based methods for the segmentation and registration of medical imagery.” 2010. Doctoral Dissertation, Georgia Tech. Accessed July 21, 2019. http://hdl.handle.net/1853/39644.

MLA Handbook (7th Edition):

Gao, Yi. “Geometric statistically based methods for the segmentation and registration of medical imagery.” 2010. Web. 21 Jul 2019.

Vancouver:

Gao Y. Geometric statistically based methods for the segmentation and registration of medical imagery. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Jul 21]. Available from: http://hdl.handle.net/1853/39644.

Council of Science Editors:

Gao Y. Geometric statistically based methods for the segmentation and registration of medical imagery. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/39644


McMaster University

24. Li, Zhenhao. Algorithmic Rectification of Visual Illegibility under Extreme Lighting.

Degree: PhD, 2018, McMaster University

Image and video enhancement, a classical problem of signal processing, has remained a very active research topic for past decades. This technical subject will not… (more)

Subjects/Keywords: Image and Video Processing; Pattern Recognition; Machine Learning; Image Enhancement; Image Segmentation

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APA (6th Edition):

Li, Z. (2018). Algorithmic Rectification of Visual Illegibility under Extreme Lighting. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/23652

Chicago Manual of Style (16th Edition):

Li, Zhenhao. “Algorithmic Rectification of Visual Illegibility under Extreme Lighting.” 2018. Doctoral Dissertation, McMaster University. Accessed July 21, 2019. http://hdl.handle.net/11375/23652.

MLA Handbook (7th Edition):

Li, Zhenhao. “Algorithmic Rectification of Visual Illegibility under Extreme Lighting.” 2018. Web. 21 Jul 2019.

Vancouver:

Li Z. Algorithmic Rectification of Visual Illegibility under Extreme Lighting. [Internet] [Doctoral dissertation]. McMaster University; 2018. [cited 2019 Jul 21]. Available from: http://hdl.handle.net/11375/23652.

Council of Science Editors:

Li Z. Algorithmic Rectification of Visual Illegibility under Extreme Lighting. [Doctoral Dissertation]. McMaster University; 2018. Available from: http://hdl.handle.net/11375/23652


Brunel University

25. Wang, Chuang. Level set segmentation of retinal structures.

Degree: PhD, 2016, Brunel University

 Changes in retinal structure are related to different eye diseases. Various retinal imaging techniques, such as fundus imaging and optical coherence tomography (OCT) imaging modalities,… (more)

Subjects/Keywords: 621.36; Level set method; Image segmentation; Medical image analysis; Markov random field; Retinal image analysis

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APA (6th Edition):

Wang, C. (2016). Level set segmentation of retinal structures. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/13627 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699304

Chicago Manual of Style (16th Edition):

Wang, Chuang. “Level set segmentation of retinal structures.” 2016. Doctoral Dissertation, Brunel University. Accessed July 21, 2019. http://bura.brunel.ac.uk/handle/2438/13627 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699304.

MLA Handbook (7th Edition):

Wang, Chuang. “Level set segmentation of retinal structures.” 2016. Web. 21 Jul 2019.

Vancouver:

Wang C. Level set segmentation of retinal structures. [Internet] [Doctoral dissertation]. Brunel University; 2016. [cited 2019 Jul 21]. Available from: http://bura.brunel.ac.uk/handle/2438/13627 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699304.

Council of Science Editors:

Wang C. Level set segmentation of retinal structures. [Doctoral Dissertation]. Brunel University; 2016. Available from: http://bura.brunel.ac.uk/handle/2438/13627 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699304


University of Manchester

26. Mete, Melisa. Measuring brand image : personification and non-personification methods.

Degree: PhD, 2018, University of Manchester

 There are several approaches to brand image measurement. The main aim of this thesis is to understand which of the two most common approaches, namely… (more)

Subjects/Keywords: task difficulty; warmth; stereotype content model; competence; brand image measurements; Brand image; brand image dimensions

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APA (6th Edition):

Mete, M. (2018). Measuring brand image : personification and non-personification methods. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/measuring-brand-image-personification-and-nonpersonification-methods(8b596bc8-b6fc-4b96-8e66-40f052b46399).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764682

Chicago Manual of Style (16th Edition):

Mete, Melisa. “Measuring brand image : personification and non-personification methods.” 2018. Doctoral Dissertation, University of Manchester. Accessed July 21, 2019. https://www.research.manchester.ac.uk/portal/en/theses/measuring-brand-image-personification-and-nonpersonification-methods(8b596bc8-b6fc-4b96-8e66-40f052b46399).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764682.

MLA Handbook (7th Edition):

Mete, Melisa. “Measuring brand image : personification and non-personification methods.” 2018. Web. 21 Jul 2019.

Vancouver:

Mete M. Measuring brand image : personification and non-personification methods. [Internet] [Doctoral dissertation]. University of Manchester; 2018. [cited 2019 Jul 21]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/measuring-brand-image-personification-and-nonpersonification-methods(8b596bc8-b6fc-4b96-8e66-40f052b46399).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764682.

Council of Science Editors:

Mete M. Measuring brand image : personification and non-personification methods. [Doctoral Dissertation]. University of Manchester; 2018. Available from: https://www.research.manchester.ac.uk/portal/en/theses/measuring-brand-image-personification-and-nonpersonification-methods(8b596bc8-b6fc-4b96-8e66-40f052b46399).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764682


University of Cambridge

27. Lee, Juheon. Mapping individual trees from airborne multi-sensor imagery.

Degree: PhD, 2016, University of Cambridge

 Airborne multi-sensor imaging is increasingly used to examine vegetation properties. The advantage of using multiple types of sensor is that each detects a different feature… (more)

Subjects/Keywords: 621.36; Remote Sensing; Image Processing; Image segmentation; Image registration; Tree species detection; LiDAR; Hyperspectral Imagery

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APA (6th Edition):

Lee, J. (2016). Mapping individual trees from airborne multi-sensor imagery. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/266686 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.723521

Chicago Manual of Style (16th Edition):

Lee, Juheon. “Mapping individual trees from airborne multi-sensor imagery.” 2016. Doctoral Dissertation, University of Cambridge. Accessed July 21, 2019. https://www.repository.cam.ac.uk/handle/1810/266686 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.723521.

MLA Handbook (7th Edition):

Lee, Juheon. “Mapping individual trees from airborne multi-sensor imagery.” 2016. Web. 21 Jul 2019.

Vancouver:

Lee J. Mapping individual trees from airborne multi-sensor imagery. [Internet] [Doctoral dissertation]. University of Cambridge; 2016. [cited 2019 Jul 21]. Available from: https://www.repository.cam.ac.uk/handle/1810/266686 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.723521.

Council of Science Editors:

Lee J. Mapping individual trees from airborne multi-sensor imagery. [Doctoral Dissertation]. University of Cambridge; 2016. Available from: https://www.repository.cam.ac.uk/handle/1810/266686 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.723521


University of Georgia

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

Degree: PhD, Geography, 2009, University of Georgia

 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)

Subjects/Keywords: Object-based image analysis

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APA (6th 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 (16th Edition):

Kim, Minho. “Object-based spatial classification of forest vegetation with IKONOS imagery.” 2009. Doctoral Dissertation, University of Georgia. Accessed July 21, 2019. http://purl.galileo.usg.edu/uga_etd/kim_minho_200905_phd.

MLA Handbook (7th Edition):

Kim, Minho. “Object-based spatial classification of forest vegetation with IKONOS imagery.” 2009. Web. 21 Jul 2019.

Vancouver:

Kim M. Object-based spatial classification of forest vegetation with IKONOS imagery. [Internet] [Doctoral dissertation]. University of Georgia; 2009. [cited 2019 Jul 21]. 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 Georgia

29. Ling, Yangrong. Fusion of high-resolution satellite images.

Degree: PhD, Geography, 2006, University of Georgia

 Two advanced image fusion techniques, a fast Fourier transform (FFT)-enhanced intensity-hue-saturation (IHS) transform method and a wavelet-enhanced IHS transform method, are developed for fusing commercial… (more)

Subjects/Keywords: Image Fusion

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APA (6th Edition):

Ling, Y. (2006). Fusion of high-resolution satellite images. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/ling_yangrong_200605_phd

Chicago Manual of Style (16th Edition):

Ling, Yangrong. “Fusion of high-resolution satellite images.” 2006. Doctoral Dissertation, University of Georgia. Accessed July 21, 2019. http://purl.galileo.usg.edu/uga_etd/ling_yangrong_200605_phd.

MLA Handbook (7th Edition):

Ling, Yangrong. “Fusion of high-resolution satellite images.” 2006. Web. 21 Jul 2019.

Vancouver:

Ling Y. Fusion of high-resolution satellite images. [Internet] [Doctoral dissertation]. University of Georgia; 2006. [cited 2019 Jul 21]. Available from: http://purl.galileo.usg.edu/uga_etd/ling_yangrong_200605_phd.

Council of Science Editors:

Ling Y. Fusion of high-resolution satellite images. [Doctoral Dissertation]. University of Georgia; 2006. Available from: http://purl.galileo.usg.edu/uga_etd/ling_yangrong_200605_phd


University of Alberta

30. Cambre, Maria-Carolina. The politics of the face: manifestations of Che Guevara's image and its collage of renderings and agency.

Degree: PhD, Department of Educational Policy Studies, 2011, University of Alberta

 Che Guevara’s image, is seen as a global icon crossing all kinds of social and cultural boundaries, as exemplified in street protests and evidenced by… (more)

Subjects/Keywords: Che Guevara; collage; image

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APA (6th Edition):

Cambre, M. (2011). The politics of the face: manifestations of Che Guevara's image and its collage of renderings and agency. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/5h73px49t

Chicago Manual of Style (16th Edition):

Cambre, Maria-Carolina. “The politics of the face: manifestations of Che Guevara's image and its collage of renderings and agency.” 2011. Doctoral Dissertation, University of Alberta. Accessed July 21, 2019. https://era.library.ualberta.ca/files/5h73px49t.

MLA Handbook (7th Edition):

Cambre, Maria-Carolina. “The politics of the face: manifestations of Che Guevara's image and its collage of renderings and agency.” 2011. Web. 21 Jul 2019.

Vancouver:

Cambre M. The politics of the face: manifestations of Che Guevara's image and its collage of renderings and agency. [Internet] [Doctoral dissertation]. University of Alberta; 2011. [cited 2019 Jul 21]. Available from: https://era.library.ualberta.ca/files/5h73px49t.

Council of Science Editors:

Cambre M. The politics of the face: manifestations of Che Guevara's image and its collage of renderings and agency. [Doctoral Dissertation]. University of Alberta; 2011. Available from: https://era.library.ualberta.ca/files/5h73px49t

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