| 基于小波变换和多类支持向量机的图像分类 |
| |
| 引用本文： | 翟俊海,王熙照,张素芳.基于小波变换和多类支持向量机的图像分类[J].计算机工程与应用,2007,43(16):47-49. |
| |
| 作者姓名： | 翟俊海 王熙照 张素芳 |
| |
| 作者单位： | 1.河北大学 数学与计算机学院，河北 保定 071002 2.河北省信息工程学校 数学教研室，河北 保定 071000 |
| |
| 基金项目： | 国家自然科学基金
,
河北省科技攻关项目 |
| |
| 摘 要： | 提出了一种基于小波变换和多类支持向量机的图像分类新方法，该方法利用小波变换进行图像特征提取，利用多类支持向量机进行图像分类，并与基于图像底层特征的图像分类方法进行了实验比较。实验结果表明该方法具有较好的分类性能。
|
| 关 键 词： | 图像分类 特征提取 小波变换 多类支持向量机 |
| 文章编号： | 1002-8331（2007）16-0047-03 |
| 修稿时间： | 2006-11 |
Image classification based on wavelet transformation and multi-class Support Vector Machine |
| |
| ZHAI Jun-hai,WANG Xi-zhao,ZHANG Su-fang.Image classification based on wavelet transformation and multi-class Support Vector Machine[J].Computer Engineering and Applications,2007,43(16):47-49. |
| |
| Authors: | ZHAI Jun-hai WANG Xi-zhao ZHANG Su-fang |
| |
| Affiliation: | 1.College of Mathematics and Computer，Heibei University，Baoding，Hebei 071002，China 2.Teaching and Research of Section of Mathematics，Hebei Information Engineering School，Baoding，Hebei 071000，China |
| |
| Abstract: | A new method of image classification based on wavelet transformation and multi-class support vector machine is pro- posed,which employs wavelet transformation to extract features of the original images and then classifies them by multi-class support vector machine. A comparison between the proposed method and the one based on physical features of the image is presented. Experimental results show that the proposed method outperforms the others. |
| |
| Keywords: | image classification feature extraction wavelet transformation multi-class support vector machine |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机工程与应用》浏览原始摘要信息 |
|
点击此处可从《计算机工程与应用》下载全文 |
