计算机与数字工程2013，Vol.41Issue(8)：1328-1330,3.DOI:10.3969/j.issn.1672-9722.2013.08.037
基于K均值聚类的彩色图像快速分割方法
Fast Color Image Segmentation Based on Improved K-means Clustering Algorithm
摘要
Abstract
Based on the K-means clustering algorithm,a fast color image segmentation algorithm is proposed to overcome the costly,time-consuming shortcoming of the traditional K-means clustering algorithm using with large image by a block matrices,lookup table.Experimental results show that the new algorithm is one order of magnitude faster than the traditional K-means algorithm,and produces a satisfactory segmentation result.关键词
K均值聚类/彩色图像分割/图像分块/查找表Key words
K-means algorithm/ color image segmentation/ block matrices/ lookup table分类
信息技术与安全科学引用本文复制引用
蔡志华..基于K均值聚类的彩色图像快速分割方法[J].计算机与数字工程,2013,41(8):1328-1330,3.基金项目
国家自然科学基金项目(编号:60975021) （编号:60975021）
中南民族大学研究生学术创新基金项目(编号:chxyz120015)资助. （编号:chxyz120015）
