典型文献
Sub-Regional Infrared-Visible Image Fusion Using Multi-Scale Transformation
文献摘要：
Infrared-visible image fusion plays an important role in multi-source data fusion, which has the advantage of integrating useful information from multi-source sensors. However, there are still challenges in target enhancement and visual improvement. To deal with these problems, a sub-regional infrared-visible image fusion method (SRF) is proposed. First, morphology and threshold segmentation is applied to extract targets interested in infrared images. Second, the infrared back-ground is reconstructed based on extracted targets and the visible image. Finally, target and back-ground regions are fused using a multi-scale transform. Experimental results are obtained using public data for comparison and evaluation, which demonstrate that the proposed SRF has poten-tial benefits over other methods.
文献关键词：
中图分类号：
作者姓名：
Yexin Liu;Ben Xu;Mengmeng Zhang;Wei Li;Ran Tao
作者机构：
School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China
文献出处：
引用格式：
[1]Yexin Liu;Ben Xu;Mengmeng Zhang;Wei Li;Ran Tao-.Sub-Regional Infrared-Visible Image Fusion Using Multi-Scale Transformation)[J].北京理工大学学报（英文版）,2022(06):535-550
A类：
B类：
Sub,Regional,Infrared,Visible,Image,Fusion,Using,Multi,Scale,Transformation,visible,fusion,plays,important,role,multi,source,data,which,has,advantage,integrating,useful,information,from,sensors,However,there,still,challenges,enhancement,visual,improvement,To,deal,these,problems,sub,regional,infrared,SRF,proposed,First,morphology,threshold,segmentation,applied,targets,interested,images,Second,back,ground,reconstructed,extracted,Finally,regions,fused,using,scale,transform,Experimental,results,obtained,public,comparison,evaluation,demonstrate,that,poten,tial,benefits,over,other,methods
AB值：
0.658284
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