重庆理工大学学报（自然科学版）2016，Vol.30Issue(8)：137-142,6.DOI:10.3969/j.issn.1674-8425(z).2016.08.022
基于无迹变换的 KL 散度异源图像匹配方法
Multi-Source Image Registration Method Based on Kullback-Leibler Divergence of Unscented Transform
摘要
Abstract
A method for infrared /optical multi-sensor image matching based on Kullback-Leibler (KL)divergence of unscented transform was proposed.Firstly,we extracted Sobel edge points sets from the multi-sensor image respectively,and rectificated forward-looking infrared image point set;and then,we established Gaussian mixture models(GMM)on the two point sets respectively,and calculated the Kullback-Leibler divergence between the two GMM by unscented transform,and used derivative-free method to minimize the KL divergence,which the corresponding transformation matrix Tmin is the matching matrix of the two point set;Experimental results show that the proposed algorithm is robust to noise and outliers.关键词
Kullback-Leibler 散度/无迹变换/高斯混合模型/异源图像匹配Key words
Kullback-Leibler divergence/unscented transform/Gaussian mixture model/multi-sensor image matching分类
计算机与自动化引用本文复制引用
王佳,王平,华小强,吴丰阳,曹亚菲..基于无迹变换的 KL 散度异源图像匹配方法[J].重庆理工大学学报（自然科学版）,2016,30(8):137-142,6.基金项目
国家自然科学基金资助项目（61401504）；中国博士后科学基金资助项目 （）
