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  • 标题:Multiobjective Image Color Quantization Algorithm Based on Self-Adaptive Hybrid Differential Evolution
  • 本地全文:下载
  • 作者:Zhongbo Hu ; Qinghua Su ; Xuewen Xia
  • 期刊名称:Computational Intelligence and Neuroscience
  • 印刷版ISSN:1687-5265
  • 电子版ISSN:1687-5273
  • 出版年度:2016
  • 卷号:2016
  • DOI:10.1155/2016/2450431
  • 出版社:Hindawi Publishing Corporation
  • 摘要:In recent years, some researchers considered image color quantization as a single-objective problem and applied heuristic algorithms to solve it. This paper establishes a multiobjective image color quantization model with intracluster distance and intercluster separation as its objectives. Inspired by a multipopulation idea, a multiobjective image color quantization algorithm based on self-adaptive hybrid differential evolution (MoDE-CIQ) is then proposed to solve this model. Two numerical experiments on four common test images are conducted to analyze the effectiveness and competitiveness of the multiobjective model and the proposed algorithm.
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