Quantum fuzzy particle swarm optimization algorithm for image clustering

Abstract

In this paper, a novel quantum fuzzy particle swarm optimization (QFPSO) approach has been proposed for image clustering. The particle swarm optimization is used to search the global optimal clustering center. Moreover, the quantum encoding is introduced and the quantum operation is implemented on each particle to overcome the premature convergence problem effectively. The experimental results showed that QFPSO algorithm for image clustering performs much better than other contrast methods.