Multi-modality medical image fusion algorithm based on non-separable wavelet
基于非分离小波的多模态医学图像融合算法*

In the view of this situation that in the fusion process of the traditional separable wavelet medical image, there were problems of lost part edges and blurred image texture. Based on the mutual complement of CT/MRI image contents, this paper proposed a fusion algorithm of integration and highlight for the medical image details. Under the non-separable wavelet decomposed frame, used a region information entropy weighted fusion rule for the low-frequency component which reflected approximate content, and used a region brightness details priority weighted fusion rule for the high-frequency component which reflected features and details of image. Finally, reconstructed the fusion image through an inverse transform of non-separable wavelet. Experimental results show that this algorithm not only reserves the source image information, but also enhances the fusion image details and brightness information.