基于粗糙集的K-均值聚类图象分割方法

Application of Rough Set and K-means Clustering in Image Segmentation

粗糙集理论是一种新的处理含糊和不确定性问题的数学工具,该文结合粗糙集理论和K-均值聚类算法,提出了一种图象分割的方法。将原图象按等价关系进行划分,基于属性约简的概念对不同区域按照不可分辨关系分类。分割结果表明,该文方法是一种有效的图象分割方法,具有良好的鲁棒性。

Rough set theory is a new mathematical tool to deal with problems on vagueness and uncertainty.This paper presents an image segmentation method based on Rough set theory and K-means clustering.The experimental results indicates that the method can improve veracity and stability of image segmentation.