New Improved Optimized Method for Medical Image Enhancement Based on Modified Shark Smell Optimization Algorithm

Medical image enhancement is a principal category of the medical image processing which has a great impact on the final diagnosis results. In this paper, a new optimization technique has been presented for enhancing the contrast of the medical images. The main idea here is to propose an optimization problem by considering both global and local enhancement to achieve a strong image enhancement method. The other novelty here is to propose a new improved version of shark smell optimization algorithm to apply to the mentioned optimization problem for enhancing the algorithm convergence. Final results are analyzed based on five different measure indexes and are compared with five popular methods for illustrating the superiority of the presented technique.