| 基于二维直方图的改进的PCM聚类分割方法 |
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| 引用本文： | 林爱英,贾芳,昝红英.基于二维直方图的改进的PCM聚类分割方法[J].湖北大学学报(自然科学版),2012,34(1):31-35,59. |
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| 作者姓名： | 林爱英 贾芳 昝红英 |
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| 作者单位： | 1. 河南农业大学理学院,河南郑州,450002
2. 郑州大学信息工程学院,河南郑州,450001 |
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| 基金项目： | 国家自然科学基金项目(60970083);河南省教育厅自然科学研究指导计划项目(2008B510010)资助 |
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| 摘 要： | 相对于模糊C均值算法,可能性C均值(PCM)聚类方法具有更好的抗干扰能力.提出一种基于二维直方图的改进的PCM聚类图像分割方法,该方法除了考虑图像的点灰度信息外,还考虑像素点的邻域相关信息,利用改进的PCM聚类算法得到各象素点的隶属度对图像进行分割.实验表明,该方法能够对噪声图像有效地进行分割,具有较高的鲁棒性.
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| 关 键 词： | PCM算法 改进的PCM算法 二维直方图 图像分割 |
An improved possibilistic C-means clustering algorithm based on two-dimensional histogram for image segmentation |
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| LIN Aiying
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JIA Fang
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ZAN Hongying.An improved possibilistic C-means clustering algorithm based on two-dimensional histogram for image segmentation[J].Journal of Hubei University(Natural Science Edition),2012,34(1):31-35,59. |
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| Authors: | LIN Aiying JIA Fang ZAN Hongying |
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| Institution: | 1.College of Science,Henan Agricultural University,Zhengzhou 450002,China; 2.College of Information and Engineering,Zhengzhou University,Zhengzhou 450001,China) |
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| Abstract: | In contrast with fuzzy C-means(FCM) algorithm,the possibilistic C-means(PCM) clustering algorithm was much robust to noise.An improved possibilistic C-means(IPCM) clustering algorithm based on two-dimensional histogram for image segmentation was presented.It utilized both the gray level information of each pixel and its spatial information within the neighborhood.By using the improved PCM clustering algorithm,the membership of each pixel was obtained and the image was segmented in terms of the value of the membership.The experimen results showed that the method was effective and robust for image segmentation. |
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| Keywords: | possibilistic C-means algorithm improved possibilistic C-means algorithm two-dimensional histogram image segmentation |
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