The image registration algorithm based on mutual information has long runtime and bad antinoise performance.To solve this problem,an image registration algorithm based on a novel similarity measure was proposed.Histogram divergence formula was defined and used as the similarity metric by analyzing the point set distribution of joint histogram.To speed up searching the registration parameters,all were done in the wavelet field and a hybrid algorithm based on genetic algorithm and Powell′s method was used to optimize this parameters.Experiments show that this algorithm can apply wider optimization methods and save more time and have better antinoise performance compared with the algorithm based on mutual information.
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李伟,杨绍清.基于直方图散度和小波分解的图像配准算法[J].激光与红外,2009,39(12):1351~1355 LI Wei, YANG Shao-qing. Image registration algorithm based on histogram divergence and wavelet decomposition[J]. LASER & INFRARED,2009,39(12):1351~1355