Adaptive fusion algorithm of CT and MRI medical images based on NSCT

An adaptive fusion algorithm of CT and MRI medical images based on NSCT is presented in this paper. The source images are decomposed in a multi-direction way by using the nonsubsampled pyramids (NSP) and the nonsubsampled directional filter banks (NSDFBs). In band-pass directional sub-band coefficients fusion rules, we use local energy and the weighted average combination, meanwhile for the larger selection of absolute value of the coefficient are applied in the highest levels . The combination of the adjustable parameter and objective evaluation index of the adaptive fusion rules are used in low frequency sub-band fusion.The experiment verifies the feasibility of the method in terms of visual quality and objective evaluation criteria, entropy, standard deviation, space-frequency and mutual-information etc.