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Image matching through combined features of singular value and region
Zhang ZJ(张志佳); Huang SB(黄莎白); Shi ZL(史泽林)
Department光电信息研究室
Conference NameInternational Conference on Machine Learning and Cybernetics
Conference DateAugust 26-29, 2004
Conference PlaceShanghai, China
Source PublicationPROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7
PublisherIEEE
Publication PlaceNEW YORK
2004
Pages3793-3797
Indexed ByEI ; CPCI(ISTP)
EI Accession number2004458447135
WOS IDWOS:000225293600749
Contribution Rank1
ISBN0-7803-8403-2
KeywordImage Matching Singular Value Decomposition Region Similarity Combined Features
AbstractFacing the instability when using the singular value vector separately in image matching, this paper proposes a new algorithm that combines region feature and singular value vector to get a more accurate matching. The approximate singular value,vector has been defined in this paper based on the fact that the singular value has robust performance invariant to light image disturbance and it is qualified to represent the image as an algebraic feature in general instance. A kind of region similarity of two binary images has also been defined in the algorithm. Experiments are performed on a large test set and the results demonstrate that the proposed algorithm has more veracious capabilities than the method using singular value vector separately.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/7984
Collection光电信息技术研究室
Corresponding AuthorZhang ZJ(张志佳)
Affiliation1.Shenyang Institute of Automation, Shenyang 110016, China
2.Graduate School, Chinese Academy of Sciences, Beijing 100039, China
Recommended Citation
GB/T 7714
Zhang ZJ,Huang SB,Shi ZL. Image matching through combined features of singular value and region[C]. NEW YORK:IEEE,2004:3793-3797.
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