基于支持向量机和小波变换的纹理分类

Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788) Pub Date : 2004-06-15 DOI:10.1109/WCICA.2004.1340998

Bing-Yu Sun, De-shuang Huang

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引用次数: 16

摘要

提出了一种基于小波变换和支持向量机的纹理图像分类方法。与使用位图表示作为输入的传统方法相比，我们的方法不仅可以降低输入图像的维数，而且可以提高分类精度。

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Texture classification based on support vector machine and wavelet transform

This paper proposes a novel method of texture image classification based on wavelet transform and support vector machine. Compared to traditional approaches using the bitmap representation as the inputs, our approach can not only reduce the dimension of the input image, but also improve the classification accuracy.

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来源期刊

Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)

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