作 者: ;
机构地区: 泉州师范学院物理与信息工程学院
出 处: 《泉州师范学院学报》 2012年第2期23-26,共4页
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. 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.
领 域: [自动化与计算机技术] [自动化与计算机技术]