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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/10132

Title: An Auto-detecting System for Surface Defects on Connectors
Authors: Chen, Po-Yueh;Liao, Hsien-Chou;Chin, Kuo-Ming
Contributors: 資訊工程學系
Keywords: Computer vision;Surface defect;Connector
Date: 2008-06
Issue Date: 2012-05-03T09:15:41Z
Publisher: 國立勤益科技大學
Abstract: 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.
Relation: 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
Appears in Collections:[資訊工程學系] 會議論文

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