Multimodality Medical Image Fusion Algorithm Based on Multi-iteration

TL;DR: By six groups of image fusion experiments, the results showed that the proposed algorithm is a kind of practical image fusion algorithm, and also verify the good ability that the multi-level medical image fusion algorithms has in the expression of image information.

Abstract: In conclusion, this article put forward multi-layer medical image fusion algorithm based on pixel level. This main research direction of this article is repeatedly using the traditional algorithm of image fusion based on pixel level to fuse the CT and MRI medical image and get multilayer fusion results in order to obtain better fusion effect. Introducing layers of medical image fusion algorithm transform to image fusion can keep the details of the original image better and extract the contour features of image, to provide more comprehensive characteristic information for image fusion. By six groups of image fusion experiments, the results showed that the proposed algorithm is a kind of practical image fusion algorithm, and also verify the good ability that the multi-level medical image fusion algorithm has in the expression of image information.