The common area of the candidate images is obtained by using the regional split and merge algorithm, meanwhile two candidate images are processed by the multi-scale decomposition. the weighted average and coefficient selection are done for the low frequency coefficients of decomposition and high frequency coefficients according to the fusion measuring indexes and the regional similarity, the fusion image is obtained by inverse wavelet transform. The results show that region-based fusion algorithm can preserve more details.