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题名: Accurate matching method of multimodal image based on phase congruency and local mutual information
作者: Zhao CY(赵春阳) ; Zhao HC(赵怀慈) ; Zhao G(赵刚)
作者部门: 光电信息技术研究室
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
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
出版日期: 2014
页码: 1-6
收录类别: CPCI(ISTP) ; EI
ISSN号: 0277-786X
关键词: Multimodal Image Matching ; Monogenic Phase Congruency ; Edge Orientation Histogram ; Multi Candidate Point Matching ; Normalized Mutual Information
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.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/15342
Appears in Collections:光电信息技术研究室_会议论文

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