An Optimizing Multilevel Thresholding for Image Segmentation Based on Hybrid Swarm Computation Optimization

Abstract

This paper suggests a solution for the image segmentation(IS) problem with the multilevel thresholding based on one of the latest hybrid swarm computation optimization algorithms, particle swarms, and gravitational search (PSGA). The experimental results are comparable with other state-of-the-art algorithms that show that the PSGA on selected images is better than the competitors.