Development of Auto-Alignment Software on Exposure Machine with Image Processing

碩士 === 國立中興大學 === 生物產業機電工程學系所 === 104 === In the study, auto-alignment software for the circle and ring alignment key was developed with image processing. Some common methods can’t inspect target because the background is complex in image. Thus, gray match, shape match, and integrated method were es...

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Main Authors: Ting-Yuan Chiang, 江定原
Other Authors: Kuo-Yi Huang
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/02738150488330760031
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spelling ndltd-TW-104NCHU54150152017-01-06T04:19:42Z http://ndltd.ncl.edu.tw/handle/02738150488330760031 Development of Auto-Alignment Software on Exposure Machine with Image Processing 應用影像處理於曝光機標靶對位輔助軟體之開發 Ting-Yuan Chiang 江定原 碩士 國立中興大學 生物產業機電工程學系所 104 In the study, auto-alignment software for the circle and ring alignment key was developed with image processing. Some common methods can’t inspect target because the background is complex in image. Thus, gray match, shape match, and integrated method were established to search three targets – A, B, and C types of images. The results show that gray match method has the fastest computation time (31.75 ms), but this method is unstable (accuracies are between 0 and 100%). The accuracies are 100%, 100% and 34% for three types using shape match method respectively. The average computation time of shape match method is 32.75 ms. The integrated method is stable, the accuracies are 100%, 100% and 88.3% for three types although the computation time is 62.25 ms. Therefore, the developed software can search three targets effectively. Kuo-Yi Huang 黃國益 2016 學位論文 ; thesis 54 zh-TW
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language zh-TW
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description 碩士 === 國立中興大學 === 生物產業機電工程學系所 === 104 === In the study, auto-alignment software for the circle and ring alignment key was developed with image processing. Some common methods can’t inspect target because the background is complex in image. Thus, gray match, shape match, and integrated method were established to search three targets – A, B, and C types of images. The results show that gray match method has the fastest computation time (31.75 ms), but this method is unstable (accuracies are between 0 and 100%). The accuracies are 100%, 100% and 34% for three types using shape match method respectively. The average computation time of shape match method is 32.75 ms. The integrated method is stable, the accuracies are 100%, 100% and 88.3% for three types although the computation time is 62.25 ms. Therefore, the developed software can search three targets effectively.
author2 Kuo-Yi Huang
author_facet Kuo-Yi Huang
Ting-Yuan Chiang
江定原
author Ting-Yuan Chiang
江定原
spellingShingle Ting-Yuan Chiang
江定原
Development of Auto-Alignment Software on Exposure Machine with Image Processing
author_sort Ting-Yuan Chiang
title Development of Auto-Alignment Software on Exposure Machine with Image Processing
title_short Development of Auto-Alignment Software on Exposure Machine with Image Processing
title_full Development of Auto-Alignment Software on Exposure Machine with Image Processing
title_fullStr Development of Auto-Alignment Software on Exposure Machine with Image Processing
title_full_unstemmed Development of Auto-Alignment Software on Exposure Machine with Image Processing
title_sort development of auto-alignment software on exposure machine with image processing
publishDate 2016
url http://ndltd.ncl.edu.tw/handle/02738150488330760031
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