Full-Text Search:
Home|About CNKI|User Service|中文
Add to Favorite Get Latest Update

Fusion Algorithm of Infrared and Visible Images Based on Region Feature

YE Chuan-qi1,2,WANG Bao-shu1,MIAO Qi-guang1(1 School of Computer Science,Xidian University,Xi'an 710071,China)(2 College of Electronic Information Engineering,Henan University of Science & Technology,Luoyang,Henan 471003,China)  
An fusion algorithm of infrared and visible images based on region segmentation and à trous wavelet transform was proposed.Region segmentation and region joint were done for the infrared and visible images.Energy information and gradient information of the infrared and visible images were extracted according to the regions generated with joint map.And multiscale decomposition of the infrared and visible images was done with the à trous wavelet transform.The low-frequency coefficients were fused with the region-based rules according to the ratio of region energy(RRE)and ratio of region sharpness(RRS)presented,and the high-frequency coefficients were fused with larger absolute value operator.The fused coefficients were reconstructed to obtain the fusion image.Experimental results show that the presented algorithm can hold spectrum information of the visual image,and effectively get hot object information of the infrared image.
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©CNKI All Rights Reserved