摘要
提出了一种新的红外与可见光图像的配准算法,该方法基于图像的小波变换与互信息最大化完成图像的配准过程。首先通过搜索小波模极大提取图像感兴趣区域(ROI),完成图像预处理,并采用仿射变换,建立图像变换模型;其次将低分辨率图像进行图像插值,计算灰度直方图,进行概率分布的估计;最后选择模拟退火法,逼近全局最优解。实验结果证明了此算法的有效性。
We introduce a novel visible/infrared image registration algorithm based on wavelet transform and the maximization of mutual information of images. First, the region of interest （ROI） is determined by searching for the wavelet magnitude maxima in the preprocessing step, and the affine transform is chosen as the image geometrical transform model. Then, the probability density function of grey values is estimated from histogram by means of the Partial Volume （PV） interpolation method. Finally, the simulated annealing algorithm is used to approximate the global optimum. The experimental results show that the algorithm is efficient.
出处
《红外技术》
CSCD
北大核心
2010年第3期137-141,共5页
Infrared Technology
基金
国家科技支撑计划重点项目
编号(2006BAK07B04)
关键词
红外与可见光图像
互信息
图像配准
Infrared-visible image, mutual information, image registration
