关键词: 指数型模糊熵, 多小波基, 脉冲耦合神经网络, 图像融合

Abstract: In order to integrate CT and MRI images to be better，this paper presents a new CT and MRI medical image fusion method.This method proposes adaptive exponentially weighted fuzzy entropy fusion rules and improved regional information PCNN fusion rules.It is in the framework of multi-wavelet for CT and MRI medical image fusion.The images are decomposed based on multi-wavelets.Different image fusion algorithms are used for different frequency components.Experiments show that the proposed algorithm is superior to other fusion algorithms.It improves the clarity of the image and retains the details of the image in large extent，with the advantages of prominent edge information and high brightness and contrast.

Key words: exponentially weighted fuzzy entropy, multi-wavelets, pulse coupled neural network, image fusion