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《Computer Engineering and Applications》 2011-17
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Automated ellipse detection and location method in 3D visual inspection

HAN Jiandong1,YANG Hongju1,LV Naiguang2 1.Key Lab of Ministry of Education for Computational Intelligence and Chinese Information Processing,School of Computer and Information Technology,Shanxi University,Taiyuan 030006,China 2.School of Optoelectronic Information and Telecommunication Engineering,Beijing University of Information Science and Technology,Beijing 100192,China  
In order to solve the problems in 3D vision measurement such as low inspection efficiency and low location precision and so on,an efficient method of ellipse detection and location is proposed.Using high-reflective characteristic of the retro-reflective targets,the Canny detector is applied to the gray level image in order to obtain a binary edge-map.Edge contours points are extracted from the edge-map and divided into several groups according to the continuity.Ellipse objects can be recognized by using major axis information of an ellipse.An ellipse fitting method based on the Heteroscedastic Errors-In-Variable(HEIV) model is applied to realize the precision locating of the ellipse objects.Experimental results show that the method has such advantages as fast speed,automation,high precision and good robustness and can be extensively applied to the vision measurement.
【Fund】: 国家自然科学基金No.50675015;; 北京市属市管高等学校人才强教计划资助项目(No.PXM2007_014215_044674);; 北京市重点实验室(机电系统测控)开放课题资助项目(No.82073011)~~
【CateGory Index】: TP391.41
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