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An edge detection algorithm based on Human Visual System
Xiao CM(肖传民); Ma TL(马天磊); Xia RB(夏仁波)
Department光电信息技术研究室
Conference Name2nd International Conference on Opto-Electronics Engineering and Materials Research, OEMR 2013
Conference DateOctober 19-20, 2013
Conference PlaceZhengzhou, Henan, China
Author of SourceComputer Science and Electronic Technology; Trans tech publications inc.; National Cheng Kung University
Source PublicationAdvanced Materials Research
PublisherTrans Tech Publications Ltd,
Publication PlaceZurich-Durnten, Switzerland
2013
Pages1519-1523
Indexed ByEI
EI Accession number20134416938015
Contribution Rank1
ISSN1022-6680
ISBN978-3-03785-773-1
KeywordAlgorithms Electronics Engineering Image Processing Information Technology
AbstractEdge 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.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/13850
Collection光电信息技术研究室
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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