Title :
Texture classification based on support vector machine and wavelet transform
Author :
Sun, Bing-Yu ; Huang, De-Shuang
Author_Institution :
Inst. of Intelligent Machines, Chinese Acad. of Sci., Hefei, China
Abstract :
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.
Keywords :
feature extraction; feedforward neural nets; image texture; pattern classification; wavelet transforms; feature extraction; feedforward neural network; support vector machine; texture image classification; wavelet transform; Feature extraction; Frequency; Image classification; Pattern recognition; Support vector machine classification; Support vector machines; Testing; Voting; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1340998
