Image Segmentation using Hybrid Differential evolution algorithm with Fuzzy Entropy

In this paper we proposes a new approach for solving image segmentation problems using hybrid DE with Fuzzy Entropy. The proposed algorithm not only gives the optimized threshold value but also gives the computational capacity. Our proposed method also proves on the IQA metrics. The proposed approach is then compared with Particle swarm optimized (PSO) and Differential evolution algorithm (GA) with the simulations results to prove the superiority of our proposed method.