红外与毫米波学报2020，Vol.39Issue(6)：810-817,8.DOI:10.11972/j.issn.1001-9014.2020.06.021
基于多尺度高斯滤波和形态学变换的红外与其他类型图像融合方法
Fusion method for infrared and other-type images based on the multi-scale Gaussian filtering and morphological transform
摘要
Abstract
To ensure the fusion quality and efficiency simultaneously,a novel image fusion method based on multi-scale Gaussian filtering and morphological transform is proposed.The multi-scale Gaussian filtering is de-signed to decompose the source images into a series of detail images and approximation images.The multi-scale top- and bottom-hat decompositions are used respectively to fully extract the bright and dark details of different scales in each approximation image.The multi-scale morphological inner-and outer-boundary decompositions are constructed to fully extract boundary information in each detail image.Experimental results demonstrate that the proposed method is comparable to or even better in comparison with typical multi-scale decomposition-based fu-sion methods.Additionally,the method operates much faster than some advanced multi-scale decomposition-based methods like NSCT and NSST.关键词
图像融合/多尺度图像分解/多尺度高斯滤波/形态学变换Key words
image fusion/multi-scale decomposition/multi-scale Gaussian filtering/morphological transform分类
信息技术与安全科学引用本文复制引用
李志坚,杨风暴,高玉斌,吉琳娜,胡鹏..基于多尺度高斯滤波和形态学变换的红外与其他类型图像融合方法[J].红外与毫米波学报,2020,39(6):810-817,8.基金项目
Supported by National Natural Science Foundation of China(61672472,61702465),the Shanxi Province Science Foundation for Youths (201901D211238),the Program of Graduate Innovation in Shanxi Province (2019BY108),and the Science Foundation of North University of China (SZ20190011). （61672472,61702465）
