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Application of Phase Correlation Method in Image Matching Based on Edge Character
Xiao CM(肖传民); Ma TL(马天磊); Shi ZL(史泽林); Liu YP(刘云鹏)
Department光电信息技术研究室
Conference Name2012 Third International Conference on Theoretical and Mathematical Foundations of Computer Science (ICTMF 2012)(2012年第三届计算机科学理论与数学基础国际学术研讨会ICTMF 2012)
Conference DateDecember 1-2, 2012
Conference PlaceBali, Indonesia
Author of SourceInformation Engineering Research Institute
Source Publication2012 Third International Conference on Theoretical and Mathematical Foundations of Computer Science (ICTMF 2012)(2012年第三届计算机科学理论与数学基础国际学术研讨会ICTMF 2012)
PublisherIERI
2012
Pages928-931
Indexed ByCPCI(ISTP)
WOS IDWOS:000399844200151
Contribution Rank1
ISBN978-1-61275-051-4
KeywordEdge Extraction Phase Correlation Fourier Transform Image Matching
AbstractCombining the advantages of two image matching methods, the feature-based method and the phase correlation-based method, we propose a novel phase correlation approach making use of the image edges to achieve the spatial automatic target recognition. We extract the edges of images at first, then apply the normalized phase correlation, next work out the position of the maximum cross-power spectrum and finally conduct image matching to realize the automatic target recognition. Experiments show that the matching accuracy of the method that we proposed is superior to the traditional phase correlation method apparently and it can be adapted simultaneously to the infrared, the visible image matching. The method also has a strong ability to suppress some noises.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/10173
Collection光电信息技术研究室
Corresponding AuthorXiao CM(肖传民)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
Xiao CM,Ma TL,Shi ZL,et al. Application of Phase Correlation Method in Image Matching Based on Edge Character[C]//Information Engineering Research Institute:IERI,2012:928-931.
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