应用激光, 2012, 32 (5): 440, 网络出版: 2012-11-28
一种基于目标区域特征的红外与可见光图像信息融合方法
A Novel Information Fusion Method of the Infrared and Visible Light Images Based on Target Region Feature
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
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。
Abstract
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.
钟平, 施云龙, 杨晓冬, 王洋, 王士乐. 一种基于目标区域特征的红外与可见光图像信息融合方法[J]. 应用激光, 2012, 32(5): 440. Zhong Ping, Shi Yunlong, Yang Xiaodong, Wang Yang, Wang Shile. A Novel Information Fusion Method of the Infrared and Visible Light Images Based on Target Region Feature[J]. APPLIED LASER, 2012, 32(5): 440.