National Changhua University of Education Institutional Repository : Item 987654321/10132
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题名: An Auto-detecting System for Surface Defects on Connectors
作者: Chen, Po-Yueh;Liao, Hsien-Chou;Chin, Kuo-Ming
贡献者: 資訊工程學系
关键词: Computer vision;Surface defect;Connector
日期: 2008-06
上传时间: 2012-05-03T09:15:41Z
出版者: 國立勤益科技大學
摘要: Exploiting computer vision techniques, an autodetecting system is developed for surface defects on connectors. The system hardware consists of a CCD (charge-coupled device) camera, a loop-shaped lightsource, and an image capture board. Since the surface of connectors is made of stainless steel with high reflectance, it is difficult to locate the defects specifically. This problem is usually solved by applying extra light on the dark area. However, the reflection of the extra light might induce some detection errors. We classify the surface regions as some regions of interest (ROI) and ones that are not of interest (non-ROI) so as to accomplish real-time on-line diagnosis by image positioning and template recognition. Applied image processing techniques include edge detection, image segmentation, binary images, and template recognition. According to the examination results, the system effectively detects the surface defects. The Examination time is 32ms per sample.
關聯: 第三屆智慧生活科技研討會, 國立勤益科技大學, 2008年6月6日
显示于类别:[資訊工程學系] 會議論文

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