Improved method for gradient-threshold edge detector based on HVS

Authors:
Fuzheng Yang;Shuai Wan;Yilin Chang
Affiliations:
National Key Lab. on ISN, Xidian University, Xi’an, China;National Key Lab. on ISN, Xidian University, Xi’an, China;National Key Lab. on ISN, Xidian University, Xi’an, China
Venue:
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Year:
2005

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Abstract

This paper presents an improved method which is suitable for gradient-threshold edge detectors. The proposed method takes into account the basic characteristics of the human visual system (HVS) and precisely determines the local masking regions for the edges with arbitrary shape according to the image content. Then the gradient image is masked with the luminance and the activity of local image before edge labelling. The experimental results show that the edge images obtained by our algorithm are more consistent with the perceptive edge images.