Research and Development of Intelligent On-line Real time Defect Inspection System for Polarizer

碩士 === 國立臺灣科技大學 === 高分子系 === 95 === This research applied digital image processing technology to the defect inspection of polarizer products. It first used line scan charged couple device (CCD) to screen the defect images, and then reduced the defect image ( pixel) to four times smaller using downsa...

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Main Authors: You-chen Chou, 周宥澄
Other Authors: Chung-feng Kuo
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/t9kczp
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spelling ndltd-TW-095NTUS53100242019-05-15T19:48:55Z http://ndltd.ncl.edu.tw/handle/t9kczp Research and Development of Intelligent On-line Real time Defect Inspection System for Polarizer 智慧型線上即時偏光板瑕疵檢測系統之開發與研製 You-chen Chou 周宥澄 碩士 國立臺灣科技大學 高分子系 95 This research applied digital image processing technology to the defect inspection of polarizer products. It first used line scan charged couple device (CCD) to screen the defect images, and then reduced the defect image ( pixel) to four times smaller using downsampling compression method, and then conducted the Wavelet transform (WT) on the four times smaller image for two times to reduce the size to 16 times smaller, and then the image size was pixel, so that it became the right size for the following image processing. Then the power-law transform was used to intensify the characteristics of the defect, and then processed it with lower-upper-middle (LUM) filter which could delete noise background while reserve the edge characteristics of the defect. And then the edge of the defect would be found out through the screening of the isotropic results after 45 degrees and 90 degrees increment of Laplace operator, and then used the statistic threshold method to separate the defect image, and in the end used Hough transform to distinguish the spot defect as dust, foreign matter and beat print, air bubble, and the line defect as scratch mark. This research picked out 200 sheets of polarizer defect images, then it investigated them by self-developed inspection system, the experimental result showed that it could test all the flaws on the 200 sheets of images, and successfully distinguished the spot defect and line defect, the distinguish rate is 100%, and it only cost 0.9 sec to detect a sheet. Therefore it has clear that this research has successfully developed a set of on-line real time defect inspection system applicable to the polarizer. The polarizer automatic optical inspection (AOI) system developed by this research could overcome the inconveniences and misjudgments caused by the manual inspection, and it would inform the producers whether the defect on the polarizer was spot defect formed in the manufacture or line defect in the following transportation, so that the producers could make different improvements for different types of defects. Chung-feng Kuo 郭中豐 2007 學位論文 ; thesis 67 zh-TW
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language zh-TW
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sources NDLTD
description 碩士 === 國立臺灣科技大學 === 高分子系 === 95 === This research applied digital image processing technology to the defect inspection of polarizer products. It first used line scan charged couple device (CCD) to screen the defect images, and then reduced the defect image ( pixel) to four times smaller using downsampling compression method, and then conducted the Wavelet transform (WT) on the four times smaller image for two times to reduce the size to 16 times smaller, and then the image size was pixel, so that it became the right size for the following image processing. Then the power-law transform was used to intensify the characteristics of the defect, and then processed it with lower-upper-middle (LUM) filter which could delete noise background while reserve the edge characteristics of the defect. And then the edge of the defect would be found out through the screening of the isotropic results after 45 degrees and 90 degrees increment of Laplace operator, and then used the statistic threshold method to separate the defect image, and in the end used Hough transform to distinguish the spot defect as dust, foreign matter and beat print, air bubble, and the line defect as scratch mark. This research picked out 200 sheets of polarizer defect images, then it investigated them by self-developed inspection system, the experimental result showed that it could test all the flaws on the 200 sheets of images, and successfully distinguished the spot defect and line defect, the distinguish rate is 100%, and it only cost 0.9 sec to detect a sheet. Therefore it has clear that this research has successfully developed a set of on-line real time defect inspection system applicable to the polarizer. The polarizer automatic optical inspection (AOI) system developed by this research could overcome the inconveniences and misjudgments caused by the manual inspection, and it would inform the producers whether the defect on the polarizer was spot defect formed in the manufacture or line defect in the following transportation, so that the producers could make different improvements for different types of defects.
author2 Chung-feng Kuo
author_facet Chung-feng Kuo
You-chen Chou
周宥澄
author You-chen Chou
周宥澄
spellingShingle You-chen Chou
周宥澄
Research and Development of Intelligent On-line Real time Defect Inspection System for Polarizer
author_sort You-chen Chou
title Research and Development of Intelligent On-line Real time Defect Inspection System for Polarizer
title_short Research and Development of Intelligent On-line Real time Defect Inspection System for Polarizer
title_full Research and Development of Intelligent On-line Real time Defect Inspection System for Polarizer
title_fullStr Research and Development of Intelligent On-line Real time Defect Inspection System for Polarizer
title_full_unstemmed Research and Development of Intelligent On-line Real time Defect Inspection System for Polarizer
title_sort research and development of intelligent on-line real time defect inspection system for polarizer
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/t9kczp
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