| 基于混沌人工蜂群算法的色彩量化方法 |
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| 引用本文： | 林剑,赵龙,徐剑,许力.基于混沌人工蜂群算法的色彩量化方法[J].杭州电子科技大学学报,2011,31(3):70-73. |
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| 作者姓名： | 林剑 赵龙 徐剑 许力 |
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| 作者单位： | 1. 杭州电子科技大学,新闻出版学院,浙江杭州,310018
2. 浙江大学,电气工程学院,浙江杭州,310027 |
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| 基金项目： | 浙江省教育厅科研计划资助项目 |
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| 摘 要： | 针对人工蜂群算法易陷入局部最优值、进化后期收敛速度慢等问题,为提高蜂群的多样性和搜索的遍历性,该文在人工蜂群算法中引入混沌思想,提出了一种混沌人工蜂群算法,并将其应用到色彩图像量化当中.仿真结果表明混沌人工蜂群算法改善了人工蜂群算法摆脱局部最优值的能力,提高了算法的收敛速度和精度,同时量化后的图像也具有更高的信息熵,保...
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| 关 键 词： | 混沌 蜂群算法 色彩量化 图像处理 |
Color Quantization Based on Chaotic Artificial Bee Colony Algorithm |
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| LIN Jian,ZHAO Long,XU Jian,XU Li.Color Quantization Based on Chaotic Artificial Bee Colony Algorithm[J].Journal of Hangzhou Dianzi University,2011,31(3):70-73. |
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| Authors: | LIN Jian ZHAO Long XU Jian XU Li |
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| Affiliation: | 1.School of Printing Engineering,Hangzhou Dianzi University,Hangzhou Zhejiang 310018,China;2.College of Electrical Engineering,Zhejiang University,Hangzhou Zhejiang 310027,China) |
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| Abstract: | To solve the problems that artificial bee colony algorithm is easily trapped into local optimum,slow evolution and convergence in later stage,a chaotic artificial bee colony algorithm was proposed based on chaotic idea to enhance the diversity of bees and the ergodicity of searching.The simulation results showed that the chaos artificial bee colony algorithm has improved the bee colony algorithm that prevent it from local optimum,improving the speed and accuracy of the convergence,at the same time,the quantized image maintains higher entropy and richer information. |
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| Keywords: | chaos bee colony algorithm color quantization image processing |
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