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Alternative TitleHeterogonous image matching method based on phase congruency
赵春阳; 赵怀慈; 赵刚
Source Publication激光与红外
Indexed ByCSCD
Contribution Rank1
Funding Organization中国科学院光电信息处理重点实验室开放基金项目(No.OEIP-O-201203)资助
Keyword异源图像匹配 相位一致性 梯度方向直方图 归一化互相关 归一化互信息
Other AbstractThe common local feature matching methods based on gradient histogram are difficult to match correctly due to the difference of contrast and luminance of heterogonous image. For solving this problem, the heterogonous image matching method was proposed based on the phase congruency and histograms of oriented gradients. Firstly, feature points and edge image of heterogonous images were extracted by using phase congruency method which has invariance of luminance and contrast, and then the 64 - dimensional feature descriptor was generated by counting histograms of oriented gradients of squared feature area whose size is 100 × 100. Secondly, for matching heterogonous image pair, normalized correlation function is selected as similarity measure, and two better candidate matching point pairs of one feature point was first selected by using dual - point matching method, then matching point pair was purified by using RANSAC method. Finally, the location of matching point was refined using optimization method and local normalized mutual information. The experimental results indicate that the proposed method can achieve higher performance in heterogonous image matching, the average matching correct rate is up to 88% and is 3. 4 times of SURF matching method.
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Cited Times:1[CSCD]   [CSCD Record]
Document Type期刊论文
Recommended Citation
GB/T 7714
赵春阳,赵怀慈,赵刚. 基于相位一致性的异源图像匹配方法[J]. 激光与红外,2014,44(10):1174-1178.
APA 赵春阳,赵怀慈,&赵刚.(2014).基于相位一致性的异源图像匹配方法.激光与红外,44(10),1174-1178.
MLA 赵春阳,et al."基于相位一致性的异源图像匹配方法".激光与红外 44.10(2014):1174-1178.
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