摘要
基于异源图像的信息互补关系,提出了基于目标特征区域的小波变换融合方法。首先采用基于模糊C-均值聚类(FCM)的方法,提取红外图像的目标特征区域,用于异源图像目标特征区域的局部信息融合,达到在可见光图像中加入红外目标信息的效果。其次以第一步融合的图像替换原有的可见光图像,并采用小波变换的方法实现与红外图像的融合,获得最终的融合图像。采用图像质量评价标准对本文算法和其他融合算法的实验结果进行分析对比,证明所提出方法的有效性。
Based on the complementary relationship between the information of heterogenous images,the wavelet transform fusion method that aims at the target property sphere has been proposed.Firstly,extraction of infrared image target characteristic region has been realized by using the fuzzy C-means clustering（FCM） method for local information fusion of heterogenous image target characteristic region and the effect that infrared target information to add to the visible light image has been achieved.Secondly,the final fused image has been got by using wavelet transform method to realize fusion of infrared images and the fused image previous obtained from the first step.The experimental results of the algorithm proposed in the paper and other fusion algorithms have been analyzed and compared based on the image quality evaluation standard.
出处
《应用激光》
CSCD
北大核心
2012年第5期440-445,共6页
Applied Laser
关键词
红外图像
图像融合
小波变换
均值聚类
区域特征
infrared image
image fusion
wavelet transform
means clustering
regional characteristics
