Medical image fusion method based on guided filter

Aiming at the problem that artificial texture is easy to be produced in the process of medical image fusion, the guiding filter was applied to medical image fusion to effectively improve the spatial continuity of fusion image and reduce the generation of artificial texture. Firstly, the detail layer information of the image was obtained by using the detail enhancement characteristic of the guide filter. The basic layer image information was obtained by filtering the original image through the guide filter, and then the detail layer image information could be obtained by the difference operation between the original image and the guide filter. Then, the image fusion weight coefficient was obtained based on the neighborhood statistical characteristics fusion rule with variable parameter p. The fusion rule added variable parameter p to the original neighborhood statistical characteristics, which could effectively enhance the details of the fusion image. Finally, the original image was fused according to the obtained image fusion weight coefficient to obtain the final fusion image. The comparison and analysis of experimental simulation results indicate that the fusion effect is significantly improved with the change of variable parameter p. The fusion effect is basically stable after p > 10. This fusion algorithm can effectively realize medical image fusion and has certain advantages over other fusion methods.