一种基于核的聚类色彩量化算法

作者：王自立，何通能 日期：2008-02-25/span> 浏览：4149 查看PDF文档

一种基于核的聚类色彩量化算法

王自立，何通能
（浙江工业大学 信息工程学院，浙江 杭州 310014）

摘要：针对K均值聚类在色彩量化中的应用，提出了一种基于核的聚类色彩量化算法。将原空间中待聚类的样本通过非线性映射，映射到一个高维的核空间中，从而将非线性问题变为线性问题，并通过Delphi编程加以实现。实验结果证明，该算法计算简单，鲁棒性强，具有一定的实用价值。
关键词：色彩量化；K均值；核方法聚类；Delphi
中图分类号：TP301文献标识码：A文章编号：1001-4551(2008)01-0025-03

A color image quantization algorithm based on kernel clustering
WANG Zili, HE Tongneng
(College of Information Engineering, Zhejiang University of Technology, Hangzhou 310014, China)
Abstract: A color image quantization algorithm based on kernel clustering was proposed. The data was mapped from their original space to a high dimensional space so that nolinear problem may become linear one in feature space. The algorithm was realized with Delphi. The experimental results show that the algorithm has rather good performance with low complexity, robustness and highly practical value.
Key words: color quantization; Kmeans; kernel clustering; Delphi
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