关键词: DS证据理论, 拉普拉斯能量, 小波域, 多特征, 图像融合

Abstract: To address the uncertainty of weights selection in Multi-source medical image fusion process,the basic probability assignment function of the evidence is used to express decision result’s uncertainty based on Dempster-Shafer (DS) evidential theory.The detection image’s three features,which are regional variance, regional energy, regional information entropy,are used and normalized,then the basic probability assignment can be got according to the features.Image fusion rules with multi-feature based on DS evidence theory is used for high frequency components in wavelet domain. Energy of Laplace adaptive fusion rules is used for low frequency component in wavelet domain according to energy of Laplace. Experiments show that the proposed algorithm is superior to other fusion algorithms.It combines the advantages of multi-feature,reduces the uncertainty during the image fusion process and retains the details of the image in large extent.

Key words: DS evidential theory, energy of Laplace, wavelet domain, multi-feature, image fusion