文献类型：期刊文献

中文题名：一种融合图像滤波的FCM图像分割算法及其应用

英文题名：An FCM Image Segmentation Algorithm Combined with Image Filter and Its Applications

作者：万永菁[1];张佩[1];钱佳[1]

机构：[1]华东理工大学信息科学与工程学院,上海200237

年份：2013

卷号：39

期号：2

起止页码：195

中文期刊名：华东理工大学学报（自然科学版）

外文期刊名：Journal of East China University of Science and Technology

收录：CSTPCD;;Scopus;北大核心:【北大核心2011】；CSCD:【CSCD2013_2014】；

基金：国家自然科学基金(60975004)

语种：中文

中文关键词：模糊C均值聚类;图像滤波;图像分割;滤波窗;噪声判定矩阵

外文关键词：fuzzy C-means（FCM）; image filter; image segmentation; filter window; noise decisionmatrix

摘要：模糊C均值聚类(FCM)算法常用于图像的聚类分割中,但常规的FCM算法对噪声的抑制能力较差。许多改进的FCM图像聚类分割算法虽能有效地抑制图像中的椒盐噪声和高斯白噪声,但是对图像中出现的大颗粒背景噪声的抑制效果仍然较弱。提出了一种融合图像滤波技术的FCM图像分割算法,根据噪声尺寸选择滤波窗大小,利用FCM聚类结果构造噪声判定矩阵并设计噪声判定规则,实现滤波窗内噪声点滤波操作。该算法针对人工合成的含噪灰度图像和实际的纤维图像进行了图像分割实验,实验结果表明:本文算法能有效抑制图像中的噪声,特别是大颗粒背景噪声,能获得满意的分割结果。
The fuzzy C-means algorithm （FCM）, widely used in the image clustering segmentation, has weak ability of resisting the noise. Although some modified FCM algorithms can reduce the effect of the salt and pepper noise as well as Gauss white noise, they can not effectively deal with the case that the image contains larger size noise. In this work, by combining with image filter technique, an FCM image segmentation algorithm is proposed. The size of filter window is determined by the size of noise, and the noise decision matrix is constructed by using the FCM clustering result and the noise decision rules are designed. In the algorithm, the filter operation in the filter windows is realized. The experiments are made on the image segmentation of the artificial gray image with noise and the fiber image, which show that the noise, especially the big size background noise, can be reduced effectively, and the satisfactory image segmentation results can be obtained.