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Multisets mixture learning-based ellipse detection
Liu, ZY; Qiao, H; Xu, L
Source PublicationPATTERN RECOGNITION
2006-04-01
Volume39Issue:4Pages:731-735
SubtypeArticle
AbstractWe develop an ellipse detection algorithm based on the multisets mixture learning (MML) that differs from the conventional Hough transform perspective. The algorithm developed has potential advantages in terms of noise resistance, incomplete ellipse detection, and detecting a multitude of ellipses. (c) 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
KeywordEllipse Detection Multisets Mixture Learning Hough Transform
WOS HeadingsScience & Technology ; Technology
WOS KeywordRANDOMIZED HOUGH TRANSFORM ; ALGORITHMS
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000235859200024
Citation statistics
Cited Times:13[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9375
Collection09年以前成果
Corresponding AuthorXu, L
Affiliation1.Chinese Univ Hong Kong, Dept Comp Sci & Engn, Shatin, Hong Kong, Peoples R China
2.Chinese Acad Sci, Key Lab Complex Syst & Intelligence Sci, Inst Automat, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Liu, ZY,Qiao, H,Xu, L. Multisets mixture learning-based ellipse detection[J]. PATTERN RECOGNITION,2006,39(4):731-735.
APA Liu, ZY,Qiao, H,&Xu, L.(2006).Multisets mixture learning-based ellipse detection.PATTERN RECOGNITION,39(4),731-735.
MLA Liu, ZY,et al."Multisets mixture learning-based ellipse detection".PATTERN RECOGNITION 39.4(2006):731-735.
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