Exploration Of Image Recognition On Specific Patterns and Research Of Sub-pixel Algorithm
碩士 === 國立中山大學 === 電機工程學系研究所 === 90 === Image processing technologies are broadly applied on modern machine vision and industrial inspection , but there is usually a trade-off between accuracy and speed of inspection . We plan to solve the plight by two steps : 1.We will develop many major image proc...
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ndltd-TW-090NSYS54420672015-10-13T10:28:59Z http://ndltd.ncl.edu.tw/handle/77652120642146186201 Exploration Of Image Recognition On Specific Patterns and Research Of Sub-pixel Algorithm 影像辨識於圖形識別之探討與次像素演算法之研究與應用 Jeng-Ho Yang 楊証賀 碩士 國立中山大學 電機工程學系研究所 90 Image processing technologies are broadly applied on modern machine vision and industrial inspection , but there is usually a trade-off between accuracy and speed of inspection . We plan to solve the plight by two steps : 1.We will develop many major image processing methods such as image boundary、to remove the noise、pattern match , and so on . 2.We will focus on sub-pixel algorithm and boundary research to improve the image accuracy and processing time by software under limited hardware . As we know , pixel is the most basic element of an image , but we can divide one pixel into several smaller parts by mathematics ; in the meanwhile , the pixel accuracy can be improved . We will use algorithm to realize the goal in continuous way , and research on the flow of image recognition to find out a best flow for any specific image properties . Tzuen-Lih Chern 陳遵立 2002 學位論文 ; thesis 96 zh-TW |
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碩士 === 國立中山大學 === 電機工程學系研究所 === 90 === Image processing technologies are broadly applied on modern machine vision and industrial inspection , but there is usually a trade-off between accuracy and speed of inspection . We plan to solve the plight by two steps : 1.We will develop many major image processing methods such as image boundary、to remove the noise、pattern match , and so on . 2.We will focus on sub-pixel algorithm and boundary research to improve the image accuracy and processing time by software under limited hardware .
As we know , pixel is the most basic element of an image , but we can divide one pixel into several smaller parts by mathematics ; in the meanwhile , the pixel accuracy can be improved . We will use algorithm to realize the goal in continuous way , and research on the flow of image recognition to find out a best flow for any specific image properties .
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Tzuen-Lih Chern |
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Tzuen-Lih Chern Jeng-Ho Yang 楊証賀 |
author |
Jeng-Ho Yang 楊証賀 |
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Jeng-Ho Yang 楊証賀 Exploration Of Image Recognition On Specific Patterns and Research Of Sub-pixel Algorithm |
author_sort |
Jeng-Ho Yang |
title |
Exploration Of Image Recognition On Specific Patterns and Research Of Sub-pixel Algorithm |
title_short |
Exploration Of Image Recognition On Specific Patterns and Research Of Sub-pixel Algorithm |
title_full |
Exploration Of Image Recognition On Specific Patterns and Research Of Sub-pixel Algorithm |
title_fullStr |
Exploration Of Image Recognition On Specific Patterns and Research Of Sub-pixel Algorithm |
title_full_unstemmed |
Exploration Of Image Recognition On Specific Patterns and Research Of Sub-pixel Algorithm |
title_sort |
exploration of image recognition on specific patterns and research of sub-pixel algorithm |
publishDate |
2002 |
url |
http://ndltd.ncl.edu.tw/handle/77652120642146186201 |
work_keys_str_mv |
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