基于二维阈值化与FCM相混合的图象快速分割方法

王培珍; 陈维南

doi:10.11834/jig.199809222

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专辑

基于二维阈值化与FCM相混合的图象快速分割方法
Image Segmentation Based on Fuzzy Clustering and Two dimensional Thresholding
1998年3卷第9期页码：735
纸质出版：1998
DOI： 10.11834/jig.199809222
稿件说明：

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王培珍, 陈维南. 基于二维阈值化与FCM相混合的图象快速分割方法[J]. 中国图象图形学报, 1998,3(9):735. DOI： 10.11834/jig.199809222.

Image Segmentation Based on Fuzzy Clustering and Two dimensional Thresholding[J]. Journal of Image and Graphics, 1998, 3(9): 735. DOI： 10.11834/jig.199809222.

摘要

提出了一种将快速二维阈值化与模糊聚类相混合的图象分割方法，以进一步减少快速二维阈值分割中的噪声与错误分割。实验结果表明，利用这种方法分割信噪比较低的图象，能够在很短的时间内得到较为令人满意的分割结果。此外，本文还讨论了这一方法中隶属度函数的选取对分割结果的影响

Abstract

In this paper

a new approach for image segmentation

which was basedon fuzzy clustering and fast two dimensional thresholding

was proposed and implemented.Experimental results show that by using this approach one can obtain better segmentations of the image with low signal to noise in real time. Besides

the function of the membership function has also been discussed.