中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Accurate matching method of multimodal image based on phase congruency and local mutual information

文献类型:会议论文

作者Zhao CY(赵春阳); Zhao HC(赵怀慈); Zhao G(赵刚)
出版日期2014
会议名称International Symposium on Optoelectronic Technology and Application 2014
会议日期May 13-15, 2014
会议地点Beijing, China
关键词Multimodal Image Matching Monogenic Phase Congruency Edge Orientation Histogram Multi Candidate Point Matching Normalized Mutual Information
页码1-6
中文摘要Multimodal image matching is difficult because of the contrast and intensity difference of the images. For solving this problem, a new matching method based on the phase congruency, histograms of oriented gradients and local normalized mutual information was proposed. The proposed method first extract feature points and edge map based on monogenic signal and phase congruency method which is insensitivity to variations in illumination and contrast. Then, the Monogenic Phase Congruency Edge Descriptor based on edge orientation histogram was generated by gathering the edge information of orientations from edge map around the feature point. For increasing the matched point-pair number, the Multi Candidate Point Matching Method by selecting multi better candidate matching points for each feature point was presented. Finally, the location accuracy was refined using local normalized mutual information method. The experimental results indicated that the proposed method could achieve higher performance in heterogonous image matching, the average matching correct rate up to 88%, is about 3 times of SURF matching method.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录Proc. Of SPIE 9301, International Symposium on Optoelectronic Technology and Application
会议录出版者SPIE
会议录出版地Bellingham, WA
语种英语
ISSN号0277-786X
WOS记录号WOS:000349327100023
源URL[http://ir.sia.cn/handle/173321/15342]  
专题沈阳自动化研究所_光电信息技术研究室
推荐引用方式
GB/T 7714
Zhao CY,Zhao HC,Zhao G. Accurate matching method of multimodal image based on phase congruency and local mutual information[C]. 见:International Symposium on Optoelectronic Technology and Application 2014. Beijing, China. May 13-15, 2014.

入库方式: OAI收割

来源:沈阳自动化研究所

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