| 基于离散平稳小波变换和FCM的纹理图像分割 |
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| 引用本文： | 蔡振江,王渝,张娟.基于离散平稳小波变换和FCM的纹理图像分割[J].计算机工程,2005,31(15):142-143,150. |
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| 作者姓名： | 蔡振江 王渝 张娟 |
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| 作者单位： | 1. 北京理工大学信息科学技术学院自动控制系,北京,100081;河北农业大学机电工程学院,保定,071001
2. 北京理工大学信息科学技术学院自动控制系,北京,100081 |
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| 基金项目： | 博士点基金资助项目（2003007034） |
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| 摘 要： | 采用离散平稳小波变换对纹理图像进行分解，以各层小波系数中能量为特征相向量，采用模糊c-均值聚类（FCM）对图像分割，并对分割方法进行了改进，提出采用网格法，将图像分解成若干子图像，对图像进行粗分割，再对边缘部分的网格进行细分的两步分割法。试验结果表明该方法显著提高了分割速度和精度。
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| 关 键 词： | 平稳小波 纹理图像 分割 模糊聚类 |
| 文章编号： | 1000-3428（2005）15-0142-02 |
| 收稿时间： | 2004-06-21 |
| 修稿时间： | 2004-06-21 |
Texture Image Segmentation Based on Stationary Wavelet Transform and FCM |
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| Cai Zhenjiang,WANG Yu,ZHANG Juan.Texture Image Segmentation Based on Stationary Wavelet Transform and FCM[J].Computer Engineering,2005,31(15):142-143,150. |
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| Authors: | Cai Zhenjiang WANG Yu ZHANG Juan |
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| Abstract: | Stationary wavelet transform is used to decompose texture image for image segmentation. The texture features are extracted from thewavelet coefficient energy. Then fuzzy c-means clustering method(FCM) is used to complete the texture image segmentation. In order to progressthe accurateness and efficiency of texture image segmentation, the improved segmentation method is presented. The progress is divided into twosteps. The first step is coarse segmentation, then detecting the boundary of segmentation for accurate segmentation. The experiment results show thatthe improved method is efficient. |
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| Keywords: | Stationary wavelet Texture image Segmentation Fuzzy cluster |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
