摘要
图像分割技术一直是图像处理中最关键的技术之一。本文主要研究了加权聚类算法在图像分割中应用。算法采用Fisher线性判别率的方法对特征进行加权聚类,对比了传统的聚类算法。实验结果表明,本文提出的算法能够提高图像分割的准确度。
image segmentation image processing technology has been one of the key techniques in.This paper mainly studies the weighted clustering algorithm used in image segmentation.The algorithm using Fisher linear discriminant method on feature weighted clustering.This paper compares the traditional clustering algorithm;the experimental results show that,this algorithm can improve the segmentation accuracy.
出处
《科技通报》
北大核心
2012年第10期186-187,190,共3页
Bulletin of Science and Technology
基金
河南省科技攻关项目(092102210309)
关键词
模糊C均值聚类
特征加权
隶属度
图像分割
fuzzy C means clustering
feature weighting
membership
image segmentation
