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基于contourlet变换和模糊理论的多聚焦图像融合
引用本文:陈木生.基于contourlet变换和模糊理论的多聚焦图像融合[J].泉州师范学院学报,2012,30(2):23-26.
作者姓名:陈木生
作者单位:泉州师范学院物理与信息工程学院,福建泉州,362000
基金项目:福建省教育厅科技项目(JA10239)
摘    要:研究一种基于contourlet变换和模糊理论的图像融合新算法.首先,对源图像进行contourlet变换;再对contourlet系数中低频和高频部分采用不同的融合规则,即低频部分采用基于模糊集的自适应加权融合方法,高频部分采用区域能量最大的方法进行融合;最后再通过contourlet逆变换,获得融合图像.实验结果表明该算法能够取得较好的融合结果.

关 键 词:contourlet变换  模糊理论  图像融合  多聚焦

Multi-focus Image Fusion Using Fuzzy Theory and Contourlet Transform
CHEN Mu-sheng.Multi-focus Image Fusion Using Fuzzy Theory and Contourlet Transform[J].Journal of Quanzhou Normal College,2012,30(2):23-26.
Authors:CHEN Mu-sheng
Institution:CHEN Mu-sheng(School of Science and Technology,Quanzhou Normal University,Fujian 362000,china)
Abstract:A new image fusion method is presented based on fuzzy theory and contourlet transform.Firstly,the source images are decomposed using contourlet transform.Secondly,the contourlet coefficients are fused with different rules.Fuzzy theory is used to fuse low frequency sub-band,which can adaptively calculate the contourlet coefficients weights of original images.The rules of local energy maximum are used to fuse high frequency sub-bands.Ultimately,the fusion image is obtained through an inversed transform.The experimental results show that fusion scheme can get a better fusion result and is an effective method.
Keywords:contourlet transform  fuzzy theory  image fusion  multi-focus
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