An edge detection algorithm based on Human Visual System
Xiao CM(肖传民); Ma TL(马天磊); Xia RB(夏仁波)
Conference Name 2nd International Conference on Opto-Electronics Engineering and Materials Research, OEMR 2013
Conference Date October 19-20, 2013
Conference Place Zhengzhou, Henan, China
Author of Source Computer Science and Electronic Technology; Trans tech publications inc.; National Cheng Kung University
Source Publication Advanced Materials Research
Publisher Trans Tech Publications Ltd,
Publication Place Zurich-Durnten, Switzerland
Indexed By EI
EI Accession number 20134416938015
Contribution Rank 1
Abstract Edge detection is a fundamental problem in computer vision. In this paper, we present an effective algorithm to find salient edges from infrared scene images based on Human Visual System. The algorithm integrates three basic edge features: edge contrast, edge density and edge length. In this manner, the proposed algorithm works well to detect salient region boundaries and to suppress false edges from background and texture. The experimental results demonstrate the effectiveness of the proposed algorithm. © (2013) Trans Tech Publications, Switzerland.
Document Type 会议论文
Recommended Citation GB/T 7714
Xiao CM,Ma TL,Xia RB. An edge detection algorithm based on Human Visual System[C]//Computer Science and Electronic Technology; Trans tech publications inc.; National Cheng Kung University. Zurich-Durnten, Switzerland:Trans Tech Publications Ltd,,2013:1519-1523.
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