重庆理工大学学报（自然科学版）2011，Vol.25Issue(1)：59-63,106,6.
一种基于区域分割的红外可见光图像融合方法
Fusion of Infrared and Visible Light Images Based on Region Segmentation
邢永康 1葛小青1
作者信息
- 1. 重庆大学,计算机学院,重庆,400030
- 折叠
摘要
Abstract
A new image fusion algorithm of infrared and visible light images based on region segmentation and lifting wavelet transformation was proposed. Firstly, the two source images were respectively decomposed into their high frequency sub-images and low frequency sub-images using the lifting wavelet transform. Secondly, the target region was extracted from the low frequency component of the infrared image, and then fused with background region of the low frequency components using different fusion rules. For the high frequency components, the region variance match measure was introduced to make the fusion decision. Finally, the inverse lifting transform was executed to get the fused image.Experimental results showed that with the proposed method, the fused image exhibited good infrared target features as well as clear visible background, and the intelligibility of the images was improved. The objective evaluation criteria coincided with the visual effects very well.关键词
图像融合/提升小波变换/区域分割/区域方差/匹配度Key words
image fusion/ lifting wavelet transform/ region segmentation/ region variance/ match measure分类
信息技术与安全科学引用本文复制引用
邢永康,葛小青..一种基于区域分割的红外可见光图像融合方法[J].重庆理工大学学报（自然科学版）,2011,25(1):59-63,106,6.
