An improved medical image fusion algorithm based on wavelet transform

Medical image fusion has very important value of application for medical image analysis and diagnosis. In this paper, the traditional method of wavelet fusion is improved and a new algorithm of medical image fusion is presented. When choosing high frequency coefficients, the regional edge intensities of each sub-image are calculated to realize adaptive fusion. The low frequency coefficient choosing is based on edges of images, so that the fused image can preserve all useful information and appears clearly. We apply the traditional and improved fusion algorithms based on wavelet transform to fuse images and also evaluate the fusion results. Experimental results show that this algorithm can effectively retain detail information of original images and enhance their edge and texture features. This new algorithm is better than traditional fusion algorithm based on wavelet transform.