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A Fast Hausdorff Matching Algorithm between Infrared and Optical Image using PBIL Strategies
Wang GG(王国刚); Liu YP(刘云鹏); Shi ZL(史泽林)
Department光电信息研究室
Conference Name2nd International Congress on Image and Signal Processing
Conference DateOctober 17-19, 2009
Conference PlaceTianjin, China
Author of SourceTianjin Univ Technol, IEEE Engn Med & Biol Soc
Source PublicationPROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9
PublisherIEEE
Publication PlaceNEW YORK
2009
Pages3208-3211
Indexed ByEI ; CPCI(ISTP)
EI Accession number20100212631061
WOS IDWOS:000280804301332
Contribution Rank1
ISBN978-1-4244-4130-3
KeywordHausdorff Distance Inftared Image Image Matching Pbil
AbstractAiming at the problem of low precision of traditional gray correlation matching and bad real-time feature of partial Hausdorff distance matching, a new image matching algorithm between Infrared and Optical Image based on Hausdorff distance and Population-based Increased Learning algorithm (PBIL) strategies is presented. Results of experiment show this algorithm is fast and has high accuracy in matching, and the convergence is very stable.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/7937
Collection光电信息技术研究室
Corresponding AuthorWang GG(王国刚)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Graduate School of the Chinese Academy of Sciences, Beijing 100039, China
Recommended Citation
GB/T 7714
Wang GG,Liu YP,Shi ZL. A Fast Hausdorff Matching Algorithm between Infrared and Optical Image using PBIL Strategies[C]//Tianjin Univ Technol, IEEE Engn Med & Biol Soc. NEW YORK:IEEE,2009:3208-3211.
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