| 基于加权模糊c均值聚类与统计检验指导的 多阈值图像自动分割算法 |
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| 引用本文： | 高新波,李洁,姬红兵.基于加权模糊c均值聚类与统计检验指导的 多阈值图像自动分割算法[J].电子学报,2004,32(4):661-664. |
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| 作者姓名： | 高新波 李洁 姬红兵 |
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| 作者单位： | 西安电子科技大学电子工程学院,陕西西安 710071 |
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| 摘 要： | 图像分割是计算机视觉中一个重要的研究课题.本文提出一种基于直方图的多阈值灰度图像自动分割方法,该方法利用加权模糊c-均值聚类算法快速实现分割过程,同时通过单峰统计检验指导来自动确定多阈值的合适数目.实验结果表明了该方法的有效性.
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| 关 键 词： | 图像分割 聚类分析 加权模糊c-均值算法 统计检验 |
| 文章编号： | 0372-2112(2004)04-0661-04 |
| 收稿时间： | 2002-07-30 |
A Multi-threshold Image Segmentation Algorithm Based on WeightingFuzzy c-Means Clustering and Statistical Test |
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| GAO Xin-bo,LI Jie,JI Hong-bing.A Multi-threshold Image Segmentation Algorithm Based on WeightingFuzzy c-Means Clustering and Statistical Test[J].Acta Electronica Sinica,2004,32(4):661-664. |
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| Authors: | GAO Xin-bo LI Jie JI Hong-bing |
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| Affiliation: | School of Electronic Engineering,Xidian University,Xi'an,Shaanxi 710071,China |
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| Abstract: | Image segmentation is an important research topic in the field of computer vision. A histogram-based multi-threshold automatic segmentation method is presented for gray scale images. On the one hand,it uses the weighting fuzzy c-mean clustering algorithm to fast implement the segmentation procedure;on the other hand.it automatically determines the proper number of threshold via unimode statistical test.The experimental result illustrates the effectiveness of the proposed method. |
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| Keywords: | image segmentation cluster analysis weighting fuzzy c-means algorithm statistical test |
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