Fusion method for infrared and other-type images based on the multi-scale Gaussian filtering and morphological transform
Received:January 07, 2020  Revised:November 11, 2020  download
Citation:
Hits: 90
Download times: 86
Author NameAffiliationE-mail
LI Zhi-Jian School of Information and Communication Engineering North University of China Taiyuan 030051 China
North University of China Shuozhou Campus Shuozhou 036000 China 
willlixia@163.com 
YANG Feng-Bao School of Information and Communication Engineering North University of China Taiyuan 030051 China yfengb@163.com 
GAO Yu-Bin Department of Mathematics North University of China Taiyuan 030051 China  
JI Lin-Na School of Information and Communication Engineering North University of China Taiyuan 030051 China  
HU Peng School of Information and Communication Engineering North University of China Taiyuan 030051 China  
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 designed 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 fusion methods. Additionally, the method operates much faster than some advanced multi-scale decomposition-based methods like NSCT and NSST.
keywords:image fusion  multi-scale decomposition  multi-scale Gaussian filtering  morphological transform
View Full Text  HTML  View/Add Comment  Download reader

Copyright:《Journal of Infrared And Millimeter Waves》