Image segmentation by firefly algorithm

Nowadays, swarm intelligent (SI) and inspired computations from nature have attracted high attention especially in fields of optimization, computational intelligence and computer sciences. Algorithms based on SI like bee algorithm, ant colony, cuckoo search, cuckoo optimization, firefly algorithm, and…have more advantages for us in regard to normal algorithms. Firefly algorithm that is inspired from the behavior of natural kinds, for rough non-linear functions, is one of successful and cost-effective algorithms. In this article, the segmentation of digital images is doing through optimized clustering of image histogram data by firefly algorithm. Comparing of firefly algorithm conclusions with genetic algorithm, cuckoo optimization algorithm and PSO algorithm shows that suggested way by firefly algorithm, has separated the available things in images with high convergence rate and speed.

کلیدواژه ها:

firefly algorithm ، image segmentation ، histogram clustering