color image quantization algorithm based on self-adaptive differential evolution

Clicks: 273
ID: 150507
2013
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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.
Reference Key
su2013computationalcolor Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Qinghua Su;Zhongbo Hu
Journal Organic Chemistry Frontiers
Year 2013
DOI
10.1155/2013/231916
URL
http://dx.doi.org/10.1155/2013/231916
Keywords
computer applications to medicine medical informaticsneurosciences neuropsychiatry biological psychiatry

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