Computer-integrated Micro-assembling with Image-servo System
碩士 === 大葉大學 === 機電自動化研究所碩士班 === 93 === In this study, the micro-assembling task of the positioning system is discussed; an automatic micro-assembling system is built to replace manual operations by three-axis micro-stepping positioning stage with the image recognition system. For the image recogniti...
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ndltd-TW-093DYU006890142015-12-25T04:10:27Z http://ndltd.ncl.edu.tw/handle/28932370547895901449 Computer-integrated Micro-assembling with Image-servo System 影像伺服之電腦整合微組裝系統 Chin-Kuei Chang 張晉魁 碩士 大葉大學 機電自動化研究所碩士班 93 In this study, the micro-assembling task of the positioning system is discussed; an automatic micro-assembling system is built to replace manual operations by three-axis micro-stepping positioning stage with the image recognition system. For the image recognition system, the cross positioning mark and the circle outline is used to guide the micro-stepping stage to achieve assembling tasks. In the visual-servo system designs, the positioning task is separated into two steps, which are the coarse positioning task and the fine positioning task. For the coarse positioning task, the Sobel operator is used to find outline of positioning mark and then to calculate center and radius by using the way of Least-Mean-Square Error Algorithm. For the fine positioning task, the Hough transform is applied to find the straight line of the cross positioning mark. To increase the precision of the coarse positioning task by the image recognition, the Neural Network system is studied to correct the twisting image errors of the CCD camera. Finally, integrated micro-stepping positioning stage and image recognition system achieve micro-assembling with image-servo system. Chih-Jer Lin 林志哲 2005 學位論文 ; thesis 82 zh-TW |
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碩士 === 大葉大學 === 機電自動化研究所碩士班 === 93 === In this study, the micro-assembling task of the positioning system is discussed; an automatic micro-assembling system is built to replace manual operations by three-axis micro-stepping positioning stage with the image recognition system. For the image recognition system, the cross positioning mark and the circle outline is used to guide the micro-stepping stage to achieve assembling tasks.
In the visual-servo system designs, the positioning task is separated into two steps, which are the coarse positioning task and the fine positioning task. For the coarse positioning task, the Sobel operator is used to find outline of positioning mark and then to calculate center and radius by using the way of Least-Mean-Square Error Algorithm. For the fine positioning task, the Hough transform is applied to find the straight line of the cross positioning mark.
To increase the precision of the coarse positioning task by the image recognition, the Neural Network system is studied to correct the twisting image errors of the CCD camera. Finally, integrated micro-stepping positioning stage and image recognition system achieve micro-assembling with image-servo system.
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Chih-Jer Lin |
author_facet |
Chih-Jer Lin Chin-Kuei Chang 張晉魁 |
author |
Chin-Kuei Chang 張晉魁 |
spellingShingle |
Chin-Kuei Chang 張晉魁 Computer-integrated Micro-assembling with Image-servo System |
author_sort |
Chin-Kuei Chang |
title |
Computer-integrated Micro-assembling with Image-servo System |
title_short |
Computer-integrated Micro-assembling with Image-servo System |
title_full |
Computer-integrated Micro-assembling with Image-servo System |
title_fullStr |
Computer-integrated Micro-assembling with Image-servo System |
title_full_unstemmed |
Computer-integrated Micro-assembling with Image-servo System |
title_sort |
computer-integrated micro-assembling with image-servo system |
publishDate |
2005 |
url |
http://ndltd.ncl.edu.tw/handle/28932370547895901449 |
work_keys_str_mv |
AT chinkueichang computerintegratedmicroassemblingwithimageservosystem AT zhāngjìnkuí computerintegratedmicroassemblingwithimageservosystem AT chinkueichang yǐngxiàngcìfúzhīdiànnǎozhěnghéwēizǔzhuāngxìtǒng AT zhāngjìnkuí yǐngxiàngcìfúzhīdiànnǎozhěnghéwēizǔzhuāngxìtǒng |
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