Paper Title
Fusion of Medical Images in Fuzzy Domain

Medical image fusion has become a powerful tool in clinical applications. The main aim is to fuse different medical images containing complementary information into a single fused image that provides more accurate information to the physicians for explicit diagnosis and treatment of diseases. In this paper, entropy based fusion of medical images in fuzzy domain is proposed. Experimental results reveal that the performance of the proposed algorithm is superior to the existing state-of-the-art fusion algorithms. Keywords - Image Fusion, Fuzzy Transform, Entropy.