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Surface Target Edge Detection Based on Local Energy Model in Sea Clutter Background
Su WB(苏文博); Shi ZL(史泽林); Qi L(亓琳)
Department光电信息技术研究室
Conference Name6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing, Imaging, and Solar Energy
Conference DateApril 26-29, 2012
Conference PlaceXiamen, China
Author of SourceSPIE
Source PublicationProc SPIE. 8419
PublisherSPIE
2012
Pages5 pp.
Indexed ByEI ; CPCI(ISTP)
EI Accession number20131416168355
WOS IDWOS:000312935600069
Contribution Rank1
ISSN0277-786X
ISBN978-0-8194-9101-5
KeywordScale Light Insert Edge Detection Canny Operator Contour Detection Local Energy Non-classical Receptive Field Inhibition
AbstractMost of edge detection algorithms are based on the gradient method. When texture is complex, especially in scale light background, the image may be cluttered. Thus, it is hard to find useful information in the edge map. In this article, a local energy model, which is relative to Human Vision System (HVS), is proposed to detect robust and useful edges. We give non-classic receptive field (Non-CRF) methods to detect interested edges. The experimental results show that the method we proposed in this paper is much better than gradient methods in detecting edges interested.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/10175
Collection光电信息技术研究室
Corresponding AuthorSu WB(苏文博)
Affiliation1.Key Laboratory of Opto-Electronic Information Processing, CAS, Shenyang 110016, China
2.Shenyang Institute of Automation, CAS, Shenyang 110016, China
Recommended Citation
GB/T 7714
Su WB,Shi ZL,Qi L. Surface Target Edge Detection Based on Local Energy Model in Sea Clutter Background[C]//SPIE:SPIE,2012:5 pp..
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