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Dept: Mechanical Engineering

You searched for subject:(Computer Vision). Showing records 1 – 30 of 41 total matches.

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Virginia Tech

1. Zhang, Yuhan. Target Tracking from a UAV based on Computer Vision.

Degree: MS, Mechanical Engineering, 2018, Virginia Tech

 This thesis presents the design and build of tracking system for a quadrotor to chase a moving target based on computer vision in GPS-denied environment.… (more)

Subjects/Keywords: UAV; control; computer vision

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APA (6th Edition):

Zhang, Y. (2018). Target Tracking from a UAV based on Computer Vision. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83542

Chicago Manual of Style (16th Edition):

Zhang, Yuhan. “Target Tracking from a UAV based on Computer Vision.” 2018. Masters Thesis, Virginia Tech. Accessed July 19, 2019. http://hdl.handle.net/10919/83542.

MLA Handbook (7th Edition):

Zhang, Yuhan. “Target Tracking from a UAV based on Computer Vision.” 2018. Web. 19 Jul 2019.

Vancouver:

Zhang Y. Target Tracking from a UAV based on Computer Vision. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10919/83542.

Council of Science Editors:

Zhang Y. Target Tracking from a UAV based on Computer Vision. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83542


California State University – Sacramento

2. Mothe, Sravan Kumar Reddy. Computer recognition system for detecting and tracking objects in 3D environment.

Degree: MS, Mechanical Engineering, 2011, California State University – Sacramento

 In recent times computer recognition has become most powerful tool for many robotic applications. Applications like inspection, surveillance, industrial automation and gaming needs 3D positional… (more)

Subjects/Keywords: Machine vision; Computer vision; Object tracking using OpenCV

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APA (6th Edition):

Mothe, S. K. R. (2011). Computer recognition system for detecting and tracking objects in 3D environment. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.9/1249

Chicago Manual of Style (16th Edition):

Mothe, Sravan Kumar Reddy. “Computer recognition system for detecting and tracking objects in 3D environment.” 2011. Masters Thesis, California State University – Sacramento. Accessed July 19, 2019. http://hdl.handle.net/10211.9/1249.

MLA Handbook (7th Edition):

Mothe, Sravan Kumar Reddy. “Computer recognition system for detecting and tracking objects in 3D environment.” 2011. Web. 19 Jul 2019.

Vancouver:

Mothe SKR. Computer recognition system for detecting and tracking objects in 3D environment. [Internet] [Masters thesis]. California State University – Sacramento; 2011. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10211.9/1249.

Council of Science Editors:

Mothe SKR. Computer recognition system for detecting and tracking objects in 3D environment. [Masters Thesis]. California State University – Sacramento; 2011. Available from: http://hdl.handle.net/10211.9/1249


Clemson University

3. Abdelhamid, Mahmoud. EXTRACTING DEPTH INFORMATION FROM STEREO VISION SYSTEM, USING A CORRELATION AND A FEATURE BASED METHODS.

Degree: MS, Mechanical Engineering, 2011, Clemson University

 This thesis presents a new method to extract depth information from stereo-vision acquisitions using a feature and a correlation based approaches. The main implementation of… (more)

Subjects/Keywords: 3D vision; Computer Vision; Pick and place; Robotics; Triangulation; Mechanical Engineering

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APA (6th Edition):

Abdelhamid, M. (2011). EXTRACTING DEPTH INFORMATION FROM STEREO VISION SYSTEM, USING A CORRELATION AND A FEATURE BASED METHODS. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/1216

Chicago Manual of Style (16th Edition):

Abdelhamid, Mahmoud. “EXTRACTING DEPTH INFORMATION FROM STEREO VISION SYSTEM, USING A CORRELATION AND A FEATURE BASED METHODS.” 2011. Masters Thesis, Clemson University. Accessed July 19, 2019. https://tigerprints.clemson.edu/all_theses/1216.

MLA Handbook (7th Edition):

Abdelhamid, Mahmoud. “EXTRACTING DEPTH INFORMATION FROM STEREO VISION SYSTEM, USING A CORRELATION AND A FEATURE BASED METHODS.” 2011. Web. 19 Jul 2019.

Vancouver:

Abdelhamid M. EXTRACTING DEPTH INFORMATION FROM STEREO VISION SYSTEM, USING A CORRELATION AND A FEATURE BASED METHODS. [Internet] [Masters thesis]. Clemson University; 2011. [cited 2019 Jul 19]. Available from: https://tigerprints.clemson.edu/all_theses/1216.

Council of Science Editors:

Abdelhamid M. EXTRACTING DEPTH INFORMATION FROM STEREO VISION SYSTEM, USING A CORRELATION AND A FEATURE BASED METHODS. [Masters Thesis]. Clemson University; 2011. Available from: https://tigerprints.clemson.edu/all_theses/1216


Virginia Tech

4. Gassaway, Jason Cannon. Local Bundling of Disparity Maps for Improved Dense 3D Visual Reconstruction.

Degree: MS, Mechanical Engineering, 2011, Virginia Tech

 This thesis presents a new method for improved resolution of stereoscopic 3D terrain mapping by local dense bundling of disparity maps. The Unmanned Systems Lab… (more)

Subjects/Keywords: Stereo Vision; UAV; Terrain Mapping; Computer Vision; Stereo Correspondence; Bundle Adjustment

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APA (6th Edition):

Gassaway, J. C. (2011). Local Bundling of Disparity Maps for Improved Dense 3D Visual Reconstruction. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/34086

Chicago Manual of Style (16th Edition):

Gassaway, Jason Cannon. “Local Bundling of Disparity Maps for Improved Dense 3D Visual Reconstruction.” 2011. Masters Thesis, Virginia Tech. Accessed July 19, 2019. http://hdl.handle.net/10919/34086.

MLA Handbook (7th Edition):

Gassaway, Jason Cannon. “Local Bundling of Disparity Maps for Improved Dense 3D Visual Reconstruction.” 2011. Web. 19 Jul 2019.

Vancouver:

Gassaway JC. Local Bundling of Disparity Maps for Improved Dense 3D Visual Reconstruction. [Internet] [Masters thesis]. Virginia Tech; 2011. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10919/34086.

Council of Science Editors:

Gassaway JC. Local Bundling of Disparity Maps for Improved Dense 3D Visual Reconstruction. [Masters Thesis]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/34086


Virginia Tech

5. Kotha, Bhavi Bharat. Using Texture Features To Perform Depth Estimation.

Degree: MS, Mechanical Engineering, 2018, Virginia Tech

 There is a great need in real world applications for estimating depth through electronic means without human intervention. There are many methods in the field… (more)

Subjects/Keywords: Computer Vision; Stereo Vision; Depth Estimation; Scoring; Ranking

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APA (6th Edition):

Kotha, B. B. (2018). Using Texture Features To Perform Depth Estimation. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81895

Chicago Manual of Style (16th Edition):

Kotha, Bhavi Bharat. “Using Texture Features To Perform Depth Estimation.” 2018. Masters Thesis, Virginia Tech. Accessed July 19, 2019. http://hdl.handle.net/10919/81895.

MLA Handbook (7th Edition):

Kotha, Bhavi Bharat. “Using Texture Features To Perform Depth Estimation.” 2018. Web. 19 Jul 2019.

Vancouver:

Kotha BB. Using Texture Features To Perform Depth Estimation. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10919/81895.

Council of Science Editors:

Kotha BB. Using Texture Features To Perform Depth Estimation. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/81895


Virginia Tech

6. Radford, Scott Carson. Real-Time Roadway Mapping and Ground Robotic Path Planning Via Unmanned Aircraft.

Degree: MS, Mechanical Engineering, 2014, Virginia Tech

 The thesis details the development of computer vision and path planning algorithms in order to map an area via UAV aerial imagery and aid a… (more)

Subjects/Keywords: UAV; Computer Vision; Image Mosaicking; Path Planning

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APA (6th Edition):

Radford, S. C. (2014). Real-Time Roadway Mapping and Ground Robotic Path Planning Via Unmanned Aircraft. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/50431

Chicago Manual of Style (16th Edition):

Radford, Scott Carson. “Real-Time Roadway Mapping and Ground Robotic Path Planning Via Unmanned Aircraft.” 2014. Masters Thesis, Virginia Tech. Accessed July 19, 2019. http://hdl.handle.net/10919/50431.

MLA Handbook (7th Edition):

Radford, Scott Carson. “Real-Time Roadway Mapping and Ground Robotic Path Planning Via Unmanned Aircraft.” 2014. Web. 19 Jul 2019.

Vancouver:

Radford SC. Real-Time Roadway Mapping and Ground Robotic Path Planning Via Unmanned Aircraft. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10919/50431.

Council of Science Editors:

Radford SC. Real-Time Roadway Mapping and Ground Robotic Path Planning Via Unmanned Aircraft. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/50431


Virginia Tech

7. Burns, James Ian. Agricultural Crop Monitoring with Computer Vision.

Degree: MS, Mechanical Engineering, 2014, Virginia Tech

 Precision agriculture allows farmers to efficiently use their resources with site-specific applications. The current work looks to computer vision for the data collection method necessary… (more)

Subjects/Keywords: Computer Vision; Machine Learning; Agriculture; Multispectral; Automation

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APA (6th Edition):

Burns, J. I. (2014). Agricultural Crop Monitoring with Computer Vision. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/52563

Chicago Manual of Style (16th Edition):

Burns, James Ian. “Agricultural Crop Monitoring with Computer Vision.” 2014. Masters Thesis, Virginia Tech. Accessed July 19, 2019. http://hdl.handle.net/10919/52563.

MLA Handbook (7th Edition):

Burns, James Ian. “Agricultural Crop Monitoring with Computer Vision.” 2014. Web. 19 Jul 2019.

Vancouver:

Burns JI. Agricultural Crop Monitoring with Computer Vision. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10919/52563.

Council of Science Editors:

Burns JI. Agricultural Crop Monitoring with Computer Vision. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/52563


Virginia Tech

8. Cao, Mincan. Advanced Control Design of an Autonomous Line Painting Robot.

Degree: MS, Mechanical Engineering, 2017, Virginia Tech

 Painting still plays a fundamental role in communication nowadays. With the development of the Autonomous Ground Vehicle (AGV), the idea of a line Painting Robot… (more)

Subjects/Keywords: Adaptive Control; Painting Robot; Computer Vision

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APA (6th Edition):

Cao, M. (2017). Advanced Control Design of an Autonomous Line Painting Robot. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78198

Chicago Manual of Style (16th Edition):

Cao, Mincan. “Advanced Control Design of an Autonomous Line Painting Robot.” 2017. Masters Thesis, Virginia Tech. Accessed July 19, 2019. http://hdl.handle.net/10919/78198.

MLA Handbook (7th Edition):

Cao, Mincan. “Advanced Control Design of an Autonomous Line Painting Robot.” 2017. Web. 19 Jul 2019.

Vancouver:

Cao M. Advanced Control Design of an Autonomous Line Painting Robot. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10919/78198.

Council of Science Editors:

Cao M. Advanced Control Design of an Autonomous Line Painting Robot. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78198


Virginia Tech

9. Nagi, Navneet Singh. Design and Development of an Autonomous Line Painting System.

Degree: MS, Mechanical Engineering, 2019, Virginia Tech

 With vast improvements in computing power in the last two decades, humans have invested significantly in engineering resources in an attempt to automate labor intensive… (more)

Subjects/Keywords: Autonomous painting; Computer Vision Feedback; Line Dectection

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APA (6th Edition):

Nagi, N. S. (2019). Design and Development of an Autonomous Line Painting System. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/87564

Chicago Manual of Style (16th Edition):

Nagi, Navneet Singh. “Design and Development of an Autonomous Line Painting System.” 2019. Masters Thesis, Virginia Tech. Accessed July 19, 2019. http://hdl.handle.net/10919/87564.

MLA Handbook (7th Edition):

Nagi, Navneet Singh. “Design and Development of an Autonomous Line Painting System.” 2019. Web. 19 Jul 2019.

Vancouver:

Nagi NS. Design and Development of an Autonomous Line Painting System. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10919/87564.

Council of Science Editors:

Nagi NS. Design and Development of an Autonomous Line Painting System. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/87564


Rochester Institute of Technology

10. Dunn, Ryan M. Remote Access and Computerized User Control of Robotic Micromanipulators.

Degree: MS, Mechanical Engineering, 2016, Rochester Institute of Technology

  Nano- and micromanipulators are critical research tools in numerous fields including micro-manufacturing and disease study. Despite their importance, nano- and micromanipulation systems remain inaccessible… (more)

Subjects/Keywords: Automation; Computer vision; Graphical user interface; Human-computer interface; Latency; Micromanipulation

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APA (6th Edition):

Dunn, R. M. (2016). Remote Access and Computerized User Control of Robotic Micromanipulators. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9220

Chicago Manual of Style (16th Edition):

Dunn, Ryan M. “Remote Access and Computerized User Control of Robotic Micromanipulators.” 2016. Masters Thesis, Rochester Institute of Technology. Accessed July 19, 2019. https://scholarworks.rit.edu/theses/9220.

MLA Handbook (7th Edition):

Dunn, Ryan M. “Remote Access and Computerized User Control of Robotic Micromanipulators.” 2016. Web. 19 Jul 2019.

Vancouver:

Dunn RM. Remote Access and Computerized User Control of Robotic Micromanipulators. [Internet] [Masters thesis]. Rochester Institute of Technology; 2016. [cited 2019 Jul 19]. Available from: https://scholarworks.rit.edu/theses/9220.

Council of Science Editors:

Dunn RM. Remote Access and Computerized User Control of Robotic Micromanipulators. [Masters Thesis]. Rochester Institute of Technology; 2016. Available from: https://scholarworks.rit.edu/theses/9220


University of Minnesota

11. Dockter, Rodney Lee. A fast, low-cost, computer-vision based approach for tracking surgical tools.

Degree: MS, Mechanical Engineering, 2013, University of Minnesota

University of Minnesota M.S. thesis. August 2013. Major: Mechanical Engineering. Advisor: Timothy M. Kowalewski. 1 computer file (PDF); ix, 198 pages, appendices A-D.

The number… (more)

Subjects/Keywords: Computer vision; da Vinci; Object detection; Surgical Robotics; Surgical tools; Tracking

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APA (6th Edition):

Dockter, R. L. (2013). A fast, low-cost, computer-vision based approach for tracking surgical tools. (Masters Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/160081

Chicago Manual of Style (16th Edition):

Dockter, Rodney Lee. “A fast, low-cost, computer-vision based approach for tracking surgical tools.” 2013. Masters Thesis, University of Minnesota. Accessed July 19, 2019. http://purl.umn.edu/160081.

MLA Handbook (7th Edition):

Dockter, Rodney Lee. “A fast, low-cost, computer-vision based approach for tracking surgical tools.” 2013. Web. 19 Jul 2019.

Vancouver:

Dockter RL. A fast, low-cost, computer-vision based approach for tracking surgical tools. [Internet] [Masters thesis]. University of Minnesota; 2013. [cited 2019 Jul 19]. Available from: http://purl.umn.edu/160081.

Council of Science Editors:

Dockter RL. A fast, low-cost, computer-vision based approach for tracking surgical tools. [Masters Thesis]. University of Minnesota; 2013. Available from: http://purl.umn.edu/160081


Virginia Tech

12. Smith, Benjamin A. Model Free Human Pose Estimation with Application to the Classification of Abnormal Human Movement and the Detection of Hidden Loads.

Degree: PhD, Mechanical Engineering, 2010, Virginia Tech

 The extraction and analysis of human gait characteristics using image sequences are an important area of research. Recently, the focus of this research area has… (more)

Subjects/Keywords: Gait analysis; pattern recognition; hidden load detection; computer vision; surveillance detection

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APA (6th Edition):

Smith, B. A. (2010). Model Free Human Pose Estimation with Application to the Classification of Abnormal Human Movement and the Detection of Hidden Loads. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28360

Chicago Manual of Style (16th Edition):

Smith, Benjamin A. “Model Free Human Pose Estimation with Application to the Classification of Abnormal Human Movement and the Detection of Hidden Loads.” 2010. Doctoral Dissertation, Virginia Tech. Accessed July 19, 2019. http://hdl.handle.net/10919/28360.

MLA Handbook (7th Edition):

Smith, Benjamin A. “Model Free Human Pose Estimation with Application to the Classification of Abnormal Human Movement and the Detection of Hidden Loads.” 2010. Web. 19 Jul 2019.

Vancouver:

Smith BA. Model Free Human Pose Estimation with Application to the Classification of Abnormal Human Movement and the Detection of Hidden Loads. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10919/28360.

Council of Science Editors:

Smith BA. Model Free Human Pose Estimation with Application to the Classification of Abnormal Human Movement and the Detection of Hidden Loads. [Doctoral Dissertation]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/28360


Virginia Tech

13. Frauenthal, Jay Matthew. Design and Exploration of a Computer Vision Based Unmanned Aerial Vehicle for Railroad Health Applications.

Degree: MS, Mechanical Engineering, 2015, Virginia Tech

 Railroad tracks require consistent and periodic monitoring to ensure safety and reliability. Unmanned Aerial Vehicles (UAVs) have great potential because they are not constrained to… (more)

Subjects/Keywords: UAS; Computer Vision; Railroad Health Monitoring; Image Transformation; Defect Detection

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APA (6th Edition):

Frauenthal, J. M. (2015). Design and Exploration of a Computer Vision Based Unmanned Aerial Vehicle for Railroad Health Applications. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/56559

Chicago Manual of Style (16th Edition):

Frauenthal, Jay Matthew. “Design and Exploration of a Computer Vision Based Unmanned Aerial Vehicle for Railroad Health Applications.” 2015. Masters Thesis, Virginia Tech. Accessed July 19, 2019. http://hdl.handle.net/10919/56559.

MLA Handbook (7th Edition):

Frauenthal, Jay Matthew. “Design and Exploration of a Computer Vision Based Unmanned Aerial Vehicle for Railroad Health Applications.” 2015. Web. 19 Jul 2019.

Vancouver:

Frauenthal JM. Design and Exploration of a Computer Vision Based Unmanned Aerial Vehicle for Railroad Health Applications. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10919/56559.

Council of Science Editors:

Frauenthal JM. Design and Exploration of a Computer Vision Based Unmanned Aerial Vehicle for Railroad Health Applications. [Masters Thesis]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/56559


Virginia Tech

14. Moser, Joshua N. Use of Computer Vision to Track Thin Body Motion with the Application of Tracking Passion Plant Vine Tendrils.

Degree: MS, Mechanical Engineering, 2018, Virginia Tech

 This research focused on developing an algorithm sequence that could find the tendril of a passiflora incarnate, commonly referred to as the passion fruit plant,… (more)

Subjects/Keywords: Computer Vision; Motion Tracking; Passion Plant; Vine Tendril; Kalman Filter

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APA (6th Edition):

Moser, J. N. (2018). Use of Computer Vision to Track Thin Body Motion with the Application of Tracking Passion Plant Vine Tendrils. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83446

Chicago Manual of Style (16th Edition):

Moser, Joshua N. “Use of Computer Vision to Track Thin Body Motion with the Application of Tracking Passion Plant Vine Tendrils.” 2018. Masters Thesis, Virginia Tech. Accessed July 19, 2019. http://hdl.handle.net/10919/83446.

MLA Handbook (7th Edition):

Moser, Joshua N. “Use of Computer Vision to Track Thin Body Motion with the Application of Tracking Passion Plant Vine Tendrils.” 2018. Web. 19 Jul 2019.

Vancouver:

Moser JN. Use of Computer Vision to Track Thin Body Motion with the Application of Tracking Passion Plant Vine Tendrils. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10919/83446.

Council of Science Editors:

Moser JN. Use of Computer Vision to Track Thin Body Motion with the Application of Tracking Passion Plant Vine Tendrils. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83446


Colorado School of Mines

15. Geerlings, Henry. TRACR : a software pipeline for high-throughput materials image analysis – an additive manufacturing study.

Degree: MS(M.S.), Mechanical Engineering, 2018, Colorado School of Mines

 In high-dimensional materials design spaces such as additive manufacturing, elucidating processing-property relationships is a prerequisite for intelligently controlling structure and tailoring behavior in fabricated components.… (more)

Subjects/Keywords: Computer vision; Inconel; Python; Data driven; Additive manufacturing; Powder

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APA (6th Edition):

Geerlings, H. (2018). TRACR : a software pipeline for high-throughput materials image analysis – an additive manufacturing study. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/172334

Chicago Manual of Style (16th Edition):

Geerlings, Henry. “TRACR : a software pipeline for high-throughput materials image analysis – an additive manufacturing study.” 2018. Masters Thesis, Colorado School of Mines. Accessed July 19, 2019. http://hdl.handle.net/11124/172334.

MLA Handbook (7th Edition):

Geerlings, Henry. “TRACR : a software pipeline for high-throughput materials image analysis – an additive manufacturing study.” 2018. Web. 19 Jul 2019.

Vancouver:

Geerlings H. TRACR : a software pipeline for high-throughput materials image analysis – an additive manufacturing study. [Internet] [Masters thesis]. Colorado School of Mines; 2018. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/11124/172334.

Council of Science Editors:

Geerlings H. TRACR : a software pipeline for high-throughput materials image analysis – an additive manufacturing study. [Masters Thesis]. Colorado School of Mines; 2018. Available from: http://hdl.handle.net/11124/172334

16. Hasan, Ahmad Jarjis. Generation Of An Accurate, Metric Spatial Database Of A Large Multi Storied Building.

Degree: MS, Mechanical Engineering, 2017, University of North Dakota

  This thesis presents the development of a novel method to generate an accurate, metric spatial database of a large multi storied building during construction.… (more)

Subjects/Keywords: Computer vision; Construction inspection; Metric 3D model generation; Spatial query

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APA (6th Edition):

Hasan, A. J. (2017). Generation Of An Accurate, Metric Spatial Database Of A Large Multi Storied Building. (Masters Thesis). University of North Dakota. Retrieved from https://commons.und.edu/theses/2227

Chicago Manual of Style (16th Edition):

Hasan, Ahmad Jarjis. “Generation Of An Accurate, Metric Spatial Database Of A Large Multi Storied Building.” 2017. Masters Thesis, University of North Dakota. Accessed July 19, 2019. https://commons.und.edu/theses/2227.

MLA Handbook (7th Edition):

Hasan, Ahmad Jarjis. “Generation Of An Accurate, Metric Spatial Database Of A Large Multi Storied Building.” 2017. Web. 19 Jul 2019.

Vancouver:

Hasan AJ. Generation Of An Accurate, Metric Spatial Database Of A Large Multi Storied Building. [Internet] [Masters thesis]. University of North Dakota; 2017. [cited 2019 Jul 19]. Available from: https://commons.und.edu/theses/2227.

Council of Science Editors:

Hasan AJ. Generation Of An Accurate, Metric Spatial Database Of A Large Multi Storied Building. [Masters Thesis]. University of North Dakota; 2017. Available from: https://commons.und.edu/theses/2227


University of Minnesota

17. Dockter, Rodney Lee. A fast, low-cost, computer-vision based approach for tracking surgical tools.

Degree: MS, Mechanical Engineering, 2013, University of Minnesota

 The number of Robot-Assisted Minimally Invasive Surgery (RMIS) procedures has grown immensely in recent years. Like Minimally Invasive Surgeries (MIS), RMIS procedures provide improved patient… (more)

Subjects/Keywords: Computer vision; da Vinci; Object detection; Surgical Robotics; Surgical tools; Tracking

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

APA (6th Edition):

Dockter, R. L. (2013). A fast, low-cost, computer-vision based approach for tracking surgical tools. (Masters Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/160081

Chicago Manual of Style (16th Edition):

Dockter, Rodney Lee. “A fast, low-cost, computer-vision based approach for tracking surgical tools.” 2013. Masters Thesis, University of Minnesota. Accessed July 19, 2019. http://purl.umn.edu/160081.

MLA Handbook (7th Edition):

Dockter, Rodney Lee. “A fast, low-cost, computer-vision based approach for tracking surgical tools.” 2013. Web. 19 Jul 2019.

Vancouver:

Dockter RL. A fast, low-cost, computer-vision based approach for tracking surgical tools. [Internet] [Masters thesis]. University of Minnesota; 2013. [cited 2019 Jul 19]. Available from: http://purl.umn.edu/160081.

Council of Science Editors:

Dockter RL. A fast, low-cost, computer-vision based approach for tracking surgical tools. [Masters Thesis]. University of Minnesota; 2013. Available from: http://purl.umn.edu/160081


University of South Carolina

18. Wang, Yanqing. Error Assessment In 3D Computer Vision.

Degree: PhD, Mechanical Engineering, 2010, University of South Carolina

  Basic concepts in probability are employed to develop analytic formulae for both the expectation (bias) and variance for image motions obtained during subset-based pattern… (more)

Subjects/Keywords: Engineering; Mechanical Engineering; Computer Vision; Error Assessment; Image Matching

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APA (6th Edition):

Wang, Y. (2010). Error Assessment In 3D Computer Vision. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/285

Chicago Manual of Style (16th Edition):

Wang, Yanqing. “Error Assessment In 3D Computer Vision.” 2010. Doctoral Dissertation, University of South Carolina. Accessed July 19, 2019. https://scholarcommons.sc.edu/etd/285.

MLA Handbook (7th Edition):

Wang, Yanqing. “Error Assessment In 3D Computer Vision.” 2010. Web. 19 Jul 2019.

Vancouver:

Wang Y. Error Assessment In 3D Computer Vision. [Internet] [Doctoral dissertation]. University of South Carolina; 2010. [cited 2019 Jul 19]. Available from: https://scholarcommons.sc.edu/etd/285.

Council of Science Editors:

Wang Y. Error Assessment In 3D Computer Vision. [Doctoral Dissertation]. University of South Carolina; 2010. Available from: https://scholarcommons.sc.edu/etd/285


Virginia Tech

19. Doyle, Jason Emory. Automatic Dynamic Tracking of Horse Head Facial Features in Video Using Image Processing Techniques.

Degree: MS, Mechanical Engineering, 2019, Virginia Tech

 The wellbeing of horses is very important to their care takers, trainers, veterinarians, and owners. This thesis describes the development of a non-invasive image processing… (more)

Subjects/Keywords: Equine Pain Face; Horse Grimace Scale; Computer Vision; Facial Feature Detection

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APA (6th Edition):

Doyle, J. E. (2019). Automatic Dynamic Tracking of Horse Head Facial Features in Video Using Image Processing Techniques. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/87582

Chicago Manual of Style (16th Edition):

Doyle, Jason Emory. “Automatic Dynamic Tracking of Horse Head Facial Features in Video Using Image Processing Techniques.” 2019. Masters Thesis, Virginia Tech. Accessed July 19, 2019. http://hdl.handle.net/10919/87582.

MLA Handbook (7th Edition):

Doyle, Jason Emory. “Automatic Dynamic Tracking of Horse Head Facial Features in Video Using Image Processing Techniques.” 2019. Web. 19 Jul 2019.

Vancouver:

Doyle JE. Automatic Dynamic Tracking of Horse Head Facial Features in Video Using Image Processing Techniques. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10919/87582.

Council of Science Editors:

Doyle JE. Automatic Dynamic Tracking of Horse Head Facial Features in Video Using Image Processing Techniques. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/87582


Georgia Tech

20. Johnson, Jay Tillay. Defect and thickness inspection system for cast thin films using machine vision and full-field transmission densitometry.

Degree: MS, Mechanical Engineering, 2009, Georgia Tech

 Quick mass production of homogeneous thin film material is required in paper, plastic, fabric, and thin film industries. Due to the high feed rates and… (more)

Subjects/Keywords: Nondestructive evaluation; Nondestructive testing; Densitometry; Thin films Defects; Computer vision; Nondestructive testing

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APA (6th Edition):

Johnson, J. T. (2009). Defect and thickness inspection system for cast thin films using machine vision and full-field transmission densitometry. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/37234

Chicago Manual of Style (16th Edition):

Johnson, Jay Tillay. “Defect and thickness inspection system for cast thin films using machine vision and full-field transmission densitometry.” 2009. Masters Thesis, Georgia Tech. Accessed July 19, 2019. http://hdl.handle.net/1853/37234.

MLA Handbook (7th Edition):

Johnson, Jay Tillay. “Defect and thickness inspection system for cast thin films using machine vision and full-field transmission densitometry.” 2009. Web. 19 Jul 2019.

Vancouver:

Johnson JT. Defect and thickness inspection system for cast thin films using machine vision and full-field transmission densitometry. [Internet] [Masters thesis]. Georgia Tech; 2009. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/1853/37234.

Council of Science Editors:

Johnson JT. Defect and thickness inspection system for cast thin films using machine vision and full-field transmission densitometry. [Masters Thesis]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/37234


California State University – Sacramento

21. Getachew, Yacob. Color image segmentation algorithm (CISA) for destructive electronic inspection and reverse engineering applications.

Degree: MS, Mechanical Engineering, 2017, California State University – Sacramento

 Image recognition systems widely use grayscale images to perform analysis. One of the most important function in image processing tend to be edge detection and… (more)

Subjects/Keywords: Color segmentation; Image filter; Image recognition; Computer vision; Destructive delayering; Printed circuit board (PCB)

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APA (6th Edition):

Getachew, Y. (2017). Color image segmentation algorithm (CISA) for destructive electronic inspection and reverse engineering applications. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/198531

Chicago Manual of Style (16th Edition):

Getachew, Yacob. “Color image segmentation algorithm (CISA) for destructive electronic inspection and reverse engineering applications.” 2017. Masters Thesis, California State University – Sacramento. Accessed July 19, 2019. http://hdl.handle.net/10211.3/198531.

MLA Handbook (7th Edition):

Getachew, Yacob. “Color image segmentation algorithm (CISA) for destructive electronic inspection and reverse engineering applications.” 2017. Web. 19 Jul 2019.

Vancouver:

Getachew Y. Color image segmentation algorithm (CISA) for destructive electronic inspection and reverse engineering applications. [Internet] [Masters thesis]. California State University – Sacramento; 2017. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10211.3/198531.

Council of Science Editors:

Getachew Y. Color image segmentation algorithm (CISA) for destructive electronic inspection and reverse engineering applications. [Masters Thesis]. California State University – Sacramento; 2017. Available from: http://hdl.handle.net/10211.3/198531


Virginia Tech

22. Moodie, Daniel Thien-An. Sensor Fused Scene Reconstruction and Surface Inspection.

Degree: MS, Mechanical Engineering, 2014, Virginia Tech

 Optical three dimensional (3D) mapping routines are used in inspection robots to detect faults by creating 3D reconstructions of environments. To detect surface faults, sub… (more)

Subjects/Keywords: Sensor Fusion; 3D Scene Reconstruction; Computer Vision; Robotic Perception; Surface Defect Characterization

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APA (6th Edition):

Moodie, D. T. (2014). Sensor Fused Scene Reconstruction and Surface Inspection. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/47453

Chicago Manual of Style (16th Edition):

Moodie, Daniel Thien-An. “Sensor Fused Scene Reconstruction and Surface Inspection.” 2014. Masters Thesis, Virginia Tech. Accessed July 19, 2019. http://hdl.handle.net/10919/47453.

MLA Handbook (7th Edition):

Moodie, Daniel Thien-An. “Sensor Fused Scene Reconstruction and Surface Inspection.” 2014. Web. 19 Jul 2019.

Vancouver:

Moodie DT. Sensor Fused Scene Reconstruction and Surface Inspection. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10919/47453.

Council of Science Editors:

Moodie DT. Sensor Fused Scene Reconstruction and Surface Inspection. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/47453


Virginia Tech

23. Smith, Evan McLean. A Collection of Computer Vision Algorithms Capable of Detecting Linear Infrastructure for the Purpose of UAV Control.

Degree: MS, Mechanical Engineering, 2016, Virginia Tech

 One of the major application areas for UAVs is the automated traversing and inspection of infrastructure. Much of this infrastructure is linear, such as roads,… (more)

Subjects/Keywords: autonomous navigation; computer vision; linear infrastructure; machine learning; unmanned aerial vehicle (UAV)

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APA (6th Edition):

Smith, E. M. (2016). A Collection of Computer Vision Algorithms Capable of Detecting Linear Infrastructure for the Purpose of UAV Control. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81448

Chicago Manual of Style (16th Edition):

Smith, Evan McLean. “A Collection of Computer Vision Algorithms Capable of Detecting Linear Infrastructure for the Purpose of UAV Control.” 2016. Masters Thesis, Virginia Tech. Accessed July 19, 2019. http://hdl.handle.net/10919/81448.

MLA Handbook (7th Edition):

Smith, Evan McLean. “A Collection of Computer Vision Algorithms Capable of Detecting Linear Infrastructure for the Purpose of UAV Control.” 2016. Web. 19 Jul 2019.

Vancouver:

Smith EM. A Collection of Computer Vision Algorithms Capable of Detecting Linear Infrastructure for the Purpose of UAV Control. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10919/81448.

Council of Science Editors:

Smith EM. A Collection of Computer Vision Algorithms Capable of Detecting Linear Infrastructure for the Purpose of UAV Control. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/81448

24. Kalghatgi, Roshan Satish. Reconstruction techniques for fixed 3-D lines and fixed 3-D points using the relative pose of one or two cameras.

Degree: MS, Mechanical Engineering, 2012, Georgia Tech

 In general, stereovision can be defined as a two part problem. The first is the correspondence problem. This involves determining the image point in each… (more)

Subjects/Keywords: Machine vision; 3-D reconstruction; Stereovision; Monocular vision; Computer vision; Reconstruction; Three-dimensional imaging; Image reconstruction

…49 ix SUMMARY Stereovision is a common computer/machine vision technique used to extract… …Stereovision is a common computer/machine vision technique used to extract 3-D information from a set… …This is because point and line detection is an older computer vision problem, and thus many… …resolutions by combining various methods from computer vision such as feature point identification… …subject to noise, which is typical of most 3-D Computer Vision algorithms. 1.7 Conclusions… 

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APA (6th Edition):

Kalghatgi, R. S. (2012). Reconstruction techniques for fixed 3-D lines and fixed 3-D points using the relative pose of one or two cameras. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/43590

Chicago Manual of Style (16th Edition):

Kalghatgi, Roshan Satish. “Reconstruction techniques for fixed 3-D lines and fixed 3-D points using the relative pose of one or two cameras.” 2012. Masters Thesis, Georgia Tech. Accessed July 19, 2019. http://hdl.handle.net/1853/43590.

MLA Handbook (7th Edition):

Kalghatgi, Roshan Satish. “Reconstruction techniques for fixed 3-D lines and fixed 3-D points using the relative pose of one or two cameras.” 2012. Web. 19 Jul 2019.

Vancouver:

Kalghatgi RS. Reconstruction techniques for fixed 3-D lines and fixed 3-D points using the relative pose of one or two cameras. [Internet] [Masters thesis]. Georgia Tech; 2012. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/1853/43590.

Council of Science Editors:

Kalghatgi RS. Reconstruction techniques for fixed 3-D lines and fixed 3-D points using the relative pose of one or two cameras. [Masters Thesis]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/43590


University of Canterbury

25. Brown, Richard George. Three-dimensional motion capture for the DIET breast cancer imaging system.

Degree: Mechanical Engineering, 2008, University of Canterbury

 Breast cancer is one of the most prevalent forms of cancer in the world today. The search for effective treatment and screening methods is a… (more)

Subjects/Keywords: breast cancer; computer vision; diet; tomography; elasticity; calibration; seer

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APA (6th Edition):

Brown, R. G. (2008). Three-dimensional motion capture for the DIET breast cancer imaging system. (Thesis). University of Canterbury. Retrieved from http://hdl.handle.net/10092/1250

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

Chicago Manual of Style (16th Edition):

Brown, Richard George. “Three-dimensional motion capture for the DIET breast cancer imaging system.” 2008. Thesis, University of Canterbury. Accessed July 19, 2019. http://hdl.handle.net/10092/1250.

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

MLA Handbook (7th Edition):

Brown, Richard George. “Three-dimensional motion capture for the DIET breast cancer imaging system.” 2008. Web. 19 Jul 2019.

Vancouver:

Brown RG. Three-dimensional motion capture for the DIET breast cancer imaging system. [Internet] [Thesis]. University of Canterbury; 2008. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10092/1250.

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

Council of Science Editors:

Brown RG. Three-dimensional motion capture for the DIET breast cancer imaging system. [Thesis]. University of Canterbury; 2008. Available from: http://hdl.handle.net/10092/1250

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


Virginia Tech

26. Weekley, Jonathan Gardner. Multispectral Imaging Techniques for Monitoring Vegetative Growth and Health.

Degree: MS, Mechanical Engineering, 2007, Virginia Tech

 Electromagnetic radiation reflectance increases dramatically around 700 nm for vegetation. This increase in reflectance is known as the vegetation red edge. The NDVI (Normalized Difference… (more)

Subjects/Keywords: Multispectral Imaging; Hyperspectral Imaging; Computer Vision; NDVI

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APA (6th Edition):

Weekley, J. G. (2007). Multispectral Imaging Techniques for Monitoring Vegetative Growth and Health. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/35738

Chicago Manual of Style (16th Edition):

Weekley, Jonathan Gardner. “Multispectral Imaging Techniques for Monitoring Vegetative Growth and Health.” 2007. Masters Thesis, Virginia Tech. Accessed July 19, 2019. http://hdl.handle.net/10919/35738.

MLA Handbook (7th Edition):

Weekley, Jonathan Gardner. “Multispectral Imaging Techniques for Monitoring Vegetative Growth and Health.” 2007. Web. 19 Jul 2019.

Vancouver:

Weekley JG. Multispectral Imaging Techniques for Monitoring Vegetative Growth and Health. [Internet] [Masters thesis]. Virginia Tech; 2007. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10919/35738.

Council of Science Editors:

Weekley JG. Multispectral Imaging Techniques for Monitoring Vegetative Growth and Health. [Masters Thesis]. Virginia Tech; 2007. Available from: http://hdl.handle.net/10919/35738


Virginia Tech

27. Smith, Benjamin Andrew. Determination of Normal or Abnormal Gait Using a Two-Dimensional Video Camera.

Degree: MS, Mechanical Engineering, 2007, Virginia Tech

 The extraction and analysis of human gait characteristics using image sequences and the subsequent classification of these characteristics are currently an intense area of research.… (more)

Subjects/Keywords: Gait; Abnormality Detection; Pattern Recognition; Computer Vision

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APA (6th Edition):

Smith, B. A. (2007). Determination of Normal or Abnormal Gait Using a Two-Dimensional Video Camera. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/31795

Chicago Manual of Style (16th Edition):

Smith, Benjamin Andrew. “Determination of Normal or Abnormal Gait Using a Two-Dimensional Video Camera.” 2007. Masters Thesis, Virginia Tech. Accessed July 19, 2019. http://hdl.handle.net/10919/31795.

MLA Handbook (7th Edition):

Smith, Benjamin Andrew. “Determination of Normal or Abnormal Gait Using a Two-Dimensional Video Camera.” 2007. Web. 19 Jul 2019.

Vancouver:

Smith BA. Determination of Normal or Abnormal Gait Using a Two-Dimensional Video Camera. [Internet] [Masters thesis]. Virginia Tech; 2007. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10919/31795.

Council of Science Editors:

Smith BA. Determination of Normal or Abnormal Gait Using a Two-Dimensional Video Camera. [Masters Thesis]. Virginia Tech; 2007. Available from: http://hdl.handle.net/10919/31795


Virginia Tech

28. Steckenrider, John J. Multi-Bayesian Approach to Stochastic Feature Recognition in the Context of Road Crack Detection and Classification.

Degree: MS, Mechanical Engineering, 2017, Virginia Tech

 Humans have an outstanding ability to understand things about the world around them. We learn from our youngest years how to make sense of things… (more)

Subjects/Keywords: Bayesian classification; Crack detection; Road condition monitoring; Recursive Bayesian estimation; Stochastic features; Machine learning; Computer vision

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APA (6th Edition):

Steckenrider, J. J. (2017). Multi-Bayesian Approach to Stochastic Feature Recognition in the Context of Road Crack Detection and Classification. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81752

Chicago Manual of Style (16th Edition):

Steckenrider, John J. “Multi-Bayesian Approach to Stochastic Feature Recognition in the Context of Road Crack Detection and Classification.” 2017. Masters Thesis, Virginia Tech. Accessed July 19, 2019. http://hdl.handle.net/10919/81752.

MLA Handbook (7th Edition):

Steckenrider, John J. “Multi-Bayesian Approach to Stochastic Feature Recognition in the Context of Road Crack Detection and Classification.” 2017. Web. 19 Jul 2019.

Vancouver:

Steckenrider JJ. Multi-Bayesian Approach to Stochastic Feature Recognition in the Context of Road Crack Detection and Classification. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10919/81752.

Council of Science Editors:

Steckenrider JJ. Multi-Bayesian Approach to Stochastic Feature Recognition in the Context of Road Crack Detection and Classification. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/81752

29. Bergeron, Sydney. Investigation into Feasibility of Color and Texture Features for Automated Detection of Lymph Node Metastases in Histopathological Images.

Degree: MS, Mechanical Engineering, 2017, University of Minnesota

 The purpose of this thesis is to investigate the feasibility of commonly used features in histopathological image analysis for the purpose of locating various carcinoma… (more)

Subjects/Keywords: Cancer Localization; Computer Vision; Machine Learning

Computer vision and machine learning tools have the potential to enhance pathologists’ ability to… …Thesis Statement The primary goal of this research is to apply computer vision and supervised… …Sertel et al. employs computer 8 vision techniques for cell segmentation and unsupervised… …Value (HSV) color space is a commonly used color space in computer vision and… …Tissue Extraction of “Case 4 Thyroid” WSI. ix List of Abbreviations CAD - Computer Aided… 

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APA (6th Edition):

Bergeron, S. (2017). Investigation into Feasibility of Color and Texture Features for Automated Detection of Lymph Node Metastases in Histopathological Images. (Masters Thesis). University of Minnesota. Retrieved from http://hdl.handle.net/11299/188816

Chicago Manual of Style (16th Edition):

Bergeron, Sydney. “Investigation into Feasibility of Color and Texture Features for Automated Detection of Lymph Node Metastases in Histopathological Images.” 2017. Masters Thesis, University of Minnesota. Accessed July 19, 2019. http://hdl.handle.net/11299/188816.

MLA Handbook (7th Edition):

Bergeron, Sydney. “Investigation into Feasibility of Color and Texture Features for Automated Detection of Lymph Node Metastases in Histopathological Images.” 2017. Web. 19 Jul 2019.

Vancouver:

Bergeron S. Investigation into Feasibility of Color and Texture Features for Automated Detection of Lymph Node Metastases in Histopathological Images. [Internet] [Masters thesis]. University of Minnesota; 2017. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/11299/188816.

Council of Science Editors:

Bergeron S. Investigation into Feasibility of Color and Texture Features for Automated Detection of Lymph Node Metastases in Histopathological Images. [Masters Thesis]. University of Minnesota; 2017. Available from: http://hdl.handle.net/11299/188816


University of Canterbury

30. Shaw, G.M. Diabetic Retinopathy Screening Using Computer Vision.

Degree: Mechanical Engineering, 2009, University of Canterbury

 Diabetic Retinopathy (DR) is one of the main causes of blindness and visual impairment in developed countries, stemming solely from diabetes mellitus. Current screening methods… (more)

Subjects/Keywords: computer vision; diabetes; retinopathy; diagnosis; automation; Fields of Research::290000 Engineering and Technology::290500 Mechanical and Industrial Engineering::290501 Mechanical engineering; Fields of Research::320000 Medical and Health Sciences::321000 Clinical Sciences::321016 Opthalmology and vision science

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APA (6th Edition):

Shaw, G. M. (2009). Diabetic Retinopathy Screening Using Computer Vision. (Thesis). University of Canterbury. Retrieved from http://hdl.handle.net/10092/3840

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

Chicago Manual of Style (16th Edition):

Shaw, G M. “Diabetic Retinopathy Screening Using Computer Vision.” 2009. Thesis, University of Canterbury. Accessed July 19, 2019. http://hdl.handle.net/10092/3840.

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

MLA Handbook (7th Edition):

Shaw, G M. “Diabetic Retinopathy Screening Using Computer Vision.” 2009. Web. 19 Jul 2019.

Vancouver:

Shaw GM. Diabetic Retinopathy Screening Using Computer Vision. [Internet] [Thesis]. University of Canterbury; 2009. [cited 2019 Jul 19]. Available from: http://hdl.handle.net/10092/3840.

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

Council of Science Editors:

Shaw GM. Diabetic Retinopathy Screening Using Computer Vision. [Thesis]. University of Canterbury; 2009. Available from: http://hdl.handle.net/10092/3840

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

[1] [2]

.