Target edge detection based on SUSAN operator and corner discriminant factor

doi:10.7523/j.issn.2095-6134.2016.01.019

›› 2016, Vol. 33 ›› Issue (1): 128-134.DOI: 10.7523/j.issn.2095-6134.2016.01.019

• Research Articles • Previous Articles Next Articles

Target edge detection based on SUSAN operator and corner discriminant factor

WU Yiquan^1,2,3,4, WANG Kai¹

1. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
2. Provincial Key Laboratory of Manufacturing and Automation, Chengdu 610039, China;
3. Shenzhen Key Laboratory of Urban Rail Traffic, Shenzhen 518060, Guangdong, China;
4. Jiangsu Key Laboratory of Quality Control and Further Processing of Cereals and Oils, Nanjing University of Finance Economics, Nanjing 210046, China

Received:2014-10-27 Revised:2015-06-10 Online:2016-01-15

Abstract

Abstract:

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.

Key words: target edge detection, corner, SUSAN operator, target corner discriminant factor, similar standard of effectiveness

CLC Number:

TP391.41

WU Yiquan, WANG Kai. Target edge detection based on SUSAN operator and corner discriminant factor[J]. , 2016, 33(1): 128-134.

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Target edge detection based on SUSAN operator and corner discriminant factor

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