吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (6): 2103-2110.doi: 10.13229/j.cnki.jdxbgxb201606046

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Image edge points detection algorithm for object localization

YAN Fei1, ZHOU Chang-jiu1, 2, TIAN Yan-tao1, 3   

  1. 1.College of Communication Engineering, Jilin University, Changchun 130022, China;
    2.Advanced Robotics and Intelligent Control Centre, Singapore Polytechnic, Singapore 139651, Singapore;
    3.Key Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun 130022, China
  • Received:2016-03-08 Online:2016-11-20 Published:2016-11-20

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Abstract: A specific edge point detection algorithm for object localization is proposed. The algorithm can detect the edge information of interest and mark the edge points. The algorithm can get the location information of the target by analyzing the distribution of the edge points, and detect the specific gray scale pixel sequence and edge points of interest. For verification, the proposed algorithm is applied to detect the welding line and the unconstrained iris contour edge. Experimental results demonstrate that the proposed algorithm can accurately detect the edge points of the welding line. The algorithm is also applicable to locate the unconstrained iris contour. It obtains the edge points of the iris region first; then Hough Circle Transform is applied to vote a circle as the iris contour. The algorithm can locate the iris contours accurately for all kind of iris images in UBIRIS.v2 Database.

Key words: information processing, edge detection, sequence detection, unconstrained iris

CLC Number: 

  • TN919
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