A Hybrid of Fireworks and Harmony Search Algorithm for Multilevel Image Thresholding

摘要

Multilevel image thresholding is an essential part of image processing. This paper presents a hybrid implementation of fireworks and harmony search algorithm where Kapur's entropy is used as the fitness function for solving the problem. The results of the proposed method have been compared with the standard fireworks algorithm (FWA) and particle swarm optimization (PSO) based multilevel thresholding methods. Experimental results indicate that the proposed method is a promising approach in the field of image segmentation.