Image Processing and Characteristic Extraction of Reference Plane of Object
碩士 === 大葉大學 === 機械工程研究所碩士班 === 97 === In the area of digital image processing, problem-solving usually demanded extensive experiments which including using numbers image samples to test or model the image software. The thesis is about applying C-Program to build a functional integrated program for d...
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ndltd-TW-096DYU004880582015-10-13T13:08:50Z http://ndltd.ncl.edu.tw/handle/79838729539267436910 Image Processing and Characteristic Extraction of Reference Plane of Object 物件基準面之影像處理與特徵擷取 Lai, Shu-Hung 賴書弘 碩士 大葉大學 機械工程研究所碩士班 97 In the area of digital image processing, problem-solving usually demanded extensive experiments which including using numbers image samples to test or model the image software. The thesis is about applying C-Program to build a functional integrated program for digital image processing. It is exerting dual CCD image system to take samples and then applying the threshold limit value, binarization, and thinning function of the program to clarify the image outline and turn it into the pixel outline. In the process of testimony, the image noise would cause misunderstanding; therefore, the image mark was applied to effectively extract the needed image. Then the skill of Skeletonize of MATLAB was utilized to display the image branch and the trellis— liked supporting line. After the Skeletonize, the process continued to the step of Endpoint, which was to reveal the position of every end point and then utilized the virtual part of this experiment. Through the process of comparison, the same object of the dual image will on the same coordinating position. 紀華偉 2009 學位論文 ; thesis 77 zh-TW |
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碩士 === 大葉大學 === 機械工程研究所碩士班 === 97 === In the area of digital image processing, problem-solving usually demanded
extensive experiments which including using numbers image samples to test or model
the image software. The thesis is about applying C-Program to build a functional
integrated program for digital image processing. It is exerting dual CCD image system
to take samples and then applying the threshold limit value, binarization, and thinning
function of the program to clarify the image outline and turn it into the pixel outline.
In the process of testimony, the image noise would cause misunderstanding; therefore,
the image mark was applied to effectively extract the needed image. Then the skill of
Skeletonize of MATLAB was utilized to display the image branch and the trellis—
liked supporting line. After the Skeletonize, the process continued to the step of
Endpoint, which was to reveal the position of every end point and then utilized the
virtual part of this experiment. Through the process of comparison, the same object of
the dual image will on the same coordinating position.
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author2 |
紀華偉 |
author_facet |
紀華偉 Lai, Shu-Hung 賴書弘 |
author |
Lai, Shu-Hung 賴書弘 |
spellingShingle |
Lai, Shu-Hung 賴書弘 Image Processing and Characteristic Extraction of Reference Plane of Object |
author_sort |
Lai, Shu-Hung |
title |
Image Processing and Characteristic Extraction of Reference Plane of Object |
title_short |
Image Processing and Characteristic Extraction of Reference Plane of Object |
title_full |
Image Processing and Characteristic Extraction of Reference Plane of Object |
title_fullStr |
Image Processing and Characteristic Extraction of Reference Plane of Object |
title_full_unstemmed |
Image Processing and Characteristic Extraction of Reference Plane of Object |
title_sort |
image processing and characteristic extraction of reference plane of object |
publishDate |
2009 |
url |
http://ndltd.ncl.edu.tw/handle/79838729539267436910 |
work_keys_str_mv |
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