文章基本信息

标题：Color Image Quantization Algorithm Based on Self-Adaptive Differential Evolution
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作者：Qinghua Su ; Zhongbo Hu
期刊名称：Computational Intelligence and Neuroscience
印刷版ISSN：1687-5265
电子版ISSN：1687-5273
出版年度：2013
卷号：2013
DOI：10.1155/2013/231916
出版社：Hindawi Publishing Corporation
摘要：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 -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 -means and particle swarm algorithm (PSO) for the color image quantization.