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一种基于核的聚类色彩量化算法
引用本文:王自立,何通能. 一种基于核的聚类色彩量化算法[J]. 机电工程, 2008, 25(1): 25-27
作者姓名:王自立  何通能
作者单位:浙江工业大学,信息工程学院,浙江,杭州,310014;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
文章编号:1001-4551(2008)01-0025-03
收稿时间:2007-07-16
修稿时间:2007-07-16

A color image quantization algorithm based on kernel clustering
WANG Zi-li,HE Tong-neng. A color image quantization algorithm based on kernel clustering[J]. Mechanical & Electrical Engineering Magazine, 2008, 25(1): 25-27
Authors:WANG Zi-li  HE Tong-neng
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 no-linear 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.
Keywords:color quantization   K-means   kernel clustering   Delphi
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