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A new prediction method for edge detection based on human visual feature
Lin MX(林明秀); Chen S(陈帅)
Department自动化系统研究室
Conference Name2012 24th Chinese Control and Decision Conference, CCDC 2012
Conference DateMay 23-25, 2012
Conference PlaceTaiyuan, China
Source PublicationProceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012
PublisherIEEE Computer Society
Publication PlaceWashington, DC, USA
2012
Pages1465-1468
Indexed ByEI ; CPCI(ISTP)
EI Accession number20124015483635
WOS IDWOS:000323966201099
Contribution Rank2
ISBN978-1-4577-2072-7
KeywordComputer Vision Forecasting
AbstractThe edge detection rate of the traditional edge detection operators is relatively high, so that some edge points with special characteristics can't be separated from the normal state edge points. With the specific machine vision applications, a new prediction method for edge detection based on human visual feature is proposed in this paper, and the normal state edge points can be removed by changing the method's parameter. After the experimental verification, the laceration edge points of the sausage can be extracted precisely. © 2012 IEEE.
Language英语
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Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/10401
Collection自动化系统研究室
Affiliation1.College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
2.Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China
Recommended Citation
GB/T 7714
Lin MX,Chen S. A new prediction method for edge detection based on human visual feature[C]. Washington, DC, USA:IEEE Computer Society,2012:1465-1468.
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