Color Image Quantization Algorithm Based on Self-Adaptive Differential Evolution. (15th July 2013)

• Record Type: Journal Article
• Authors: Su, Qinghua; Hu, Zhongbo
• Other Names: Zhang Daoqiang Academic Editor.
• Is Part Of: Computational intelligence and neuroscience. Volume 2013(2013)
• Publication Date: 2013-07-15
• Subjects: Neurosciences -- Data processing -- Periodicals; Computational intelligence -- Periodicals; Computational neuroscience -- Periodicals; 612.80285
• DOI: 10.1155/2013/231916
• Languages: English
• ISSNs: 1687-5265

Abstract

Abstract : Differential evolution algorithm (DE) is one of the novel stochastic optimization methods. It has a better performance in the problem of the color image quantization, but it is difficult to set the parameters of DE for users. This paper proposes a color image quantization algorithm based on self-adaptive DE. In the proposed algorithm, a self-adaptive mechanic is used to automatically adjust the parameters of DE during the evolution, and a mixed mechanic of DE and K -means is applied to strengthen the local search. The numerical experimental results, on a set of commonly used test images, show that the proposed algorithm is a practicable quantization method and is more competitive than K -means and particle swarm algorithm (PSO) for the color image quantization.