| 纹理图像的特征提取和分类 |
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| 引用本文： | 王丽亚,李小平,方凯.纹理图像的特征提取和分类[J].微电子学与计算机,2005,22(9):96-98,102. |
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| 作者姓名： | 王丽亚 李小平 方凯 |
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| 作者单位： | 1. 西安电子科技大学机电工程学院,陕西,西安,710071
2. 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： | 文章提出了一种纹理图像特征提取的有效算法.该算法利用纹理信息的频域分布以及尺度特性,并在此基础上进行纹理分类.这里采用了分类性能良好的支撑矢量机作为分类器,实验结果表明该方法提取的特征向量稳定,在类别数目比较大时也能得到较高的分类精度.
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| 关 键 词： | 纹理图像 特征提取 分类 支撑矢量机 |
| 文章编号： | 1000-7180（2005）09-096-03 |
| 收稿时间： | 2005-03-07 |
| 修稿时间： | 2005-03-07 |
Feature Extraction and Classification for Textured Images |
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| WANG Li-ya,LI Xiao-ping,FANG Kai.Feature Extraction and Classification for Textured Images[J].Microelectronics & Computer,2005,22(9):96-98,102. |
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| Authors: | WANG Li-ya LI Xiao-ping FANG Kai |
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| Abstract: | A method of effective extraction features for textured images is presented in this paper. Based on frequency domain distribution and scale feature of textural information ,we can do texture classification effectively. We use support vector machine with good classification performance as classifier. The experiment results show that the feature vectors extracted are steady and higher classification accuracy can be attained even if the number of the classes is larger. |
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| Keywords: | Textured images Feature extraction Classification Support vector machine |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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