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Synthetically Evaluation System for Multi-source Image Fusion and Experimental Analysis
作者姓名:肖刚  敬忠良  吴建民  刘从义
作者单位:[1]Inst. of Aerospace Science &. Technology Shanghai 200030,. China [2]School of Electronic Information and Electrical Eng. ,Shanghai Jiaotong Univ. , Shanghai 200030,. China
基金项目:National Natural Science Foundation ofChina (No. 60375008),Shanghai EXPOSpecial Project ( No.2004BA908B07 ),Shanghai NRC International CooperationProject (No.05SN07118)
摘    要:Introduction The image fusion technology produces a singleimage from a set of input images. The fused imageshould have more complete information which ismore useful for human or machine perception.With the merits of high degree of system explo-ration, automation, availability, reliability, capa-bility and low cost, it boasts broad application per-spective in many fields such as computer vision,automatic object detection, image processing, par-allel and distributed processing, robotics and re-m…

关 键 词:图像融合  评估系统  有效定量法  全色细微感应成像
文章编号:1007-1172(2006)03-0263-08
收稿时间:2005-09-15

Synthetically Evaluation System for Multi-source Image Fusion and Experimental Analysis
XIAO Gang,JING Zhong-liang,WU Jian-min,LIU Cong-yi.Synthetically Evaluation System for Multi-source Image Fusion and Experimental Analysis[J].Journal of Shanghai Jiaotong university,2006,11(3):263-270.
Authors:XIAO Gang  JING Zhong-liang  WU Jian-min  LIU Cong-yi
Abstract:Study on the evaluation system for multi-source image fusion is an important and necessary part of image fusion. Qualitative evaluation indexes and quantitative evaluation indexes were studied. A series of new concepts, such as independent single evaluation index, union single evaluation index, synthetic evaluation index were proposed. Based on these concepts, synthetic evaluation system for digital image fusion was formed. The experiments with the wavelet fusion method, which was applied to fuse the multi-spectral image and panchromatic remote sensing image, the IR image and visible image, the CT and MRI image, and the multi-focus images show that it is an objective, uniform and effective quantitative method for image fusion evaluation.
Keywords:image fusion  independent single evaluation  union single evaluation  synthetic evaluation  evaluation system
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