基于小波变换和支持向量机的图像分类

  • 翟俊海 ,
  • 张素芳 ,
  • 王熙照
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  • 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

网络出版日期: 2007-05-25

基金资助

国家自然科学基金,河北省科技攻关项目

Image Classification Based on Wavelet Transformation and Support Vector Machine

  • ZHAI Jun-hai ,
  • ZHANG Su-fang ,
  • WANG Xi-zhao
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Online published: 2007-05-25

摘要

提出了一种基于小波变换和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,利用支持向量机进行图像分类,并与基于图像底层特征的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.

本文引用格式

翟俊海 , 张素芳 , 王熙照 . 基于小波变换和支持向量机的图像分类[J]. 河北大学学报(自然科学版), 2007 , 27(3) : 317 -321 . DOI: 10.3969/j.issn.1000-1565.2007.03.022

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