An Enhanced Algorithm for Medical Image Fusion Utilizing Artificial Rabbit Optimization

Here we present a novel technique for fusing a set of multimodal medical images utilizing the Artificial Rabbits Optimization (ARO) algorithm. The used medical images are acquired from multi-sensor integrated instruments and are mutually co-registered in the image space. Five popular fusion techniques are randomly chosen at runtime for medical image fusion (MIF) using ARO algorithm. Instantaneously, one technique is selected for fusing two multimodal images. Mutual Information (MI) of the fused image is measured and considered to be a satisfactory parameter. Higher MI is the indication of more fit cost-function value. Several quantitative measures are used to judge wellness of the planned scheme. Evaluation of the suggested scheme’s efficacy in merging multimodal medical images is done by comparing it to the existing MIF approaches.