Journal of University of Chinese Academy of Sciences >
Target edge detection based on SUSAN operator and corner discriminant factor
Received date: 2014-10-27
Revised date: 2015-06-10
Online published: 2016-01-15
This work aims at the images with intensive corners in the target area and sparse corners in the background area.To extract the edges of target area more accurately and more completely and to eliminate the background, a target edge detection method based on SUSAN operator and corner discriminant factor is proposed. First, the corners of image are extracted by SUSAN operator and the isolated noise points in the image are filtered. Then, target corner discriminant factor is defined for elimination of corners in the background area and preservation of corners in the target area. Finally, according to the similar standard of effectiveness, other edge points are detected based on the target corner standard and the target edges are obtained. A large number of experimental results show that, compared with Canny method, the improved bee colony method, and the improved non-subsampled contourlet modulus maxima method, the proposed method avoids the interference of background area effectively and locate the target area accurately. The obtained edge profile can be connected and is complete with abundant details. It has better subjective visual effect and stronger anti-noise ability with less running time.
WU Yiquan , WANG Kai . Target edge detection based on SUSAN operator and corner discriminant factor[J]. Journal of University of Chinese Academy of Sciences, 2016 , 33(1) : 128 -134 . DOI: 10.7523/j.issn.2095-6134.2016.01.019
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