Skip to Main Content
ASME Press Select Proceedings

International Conference on Computer Technology and Development, 3rd (ICCTD 2011)

By
Jianhong Zhou
Jianhong Zhou
Search for other works by this author on:
ISBN:
9780791859919
No. of Pages:
2000
Publisher:
ASME Press
Publication date:
2011

A novel rotation invariant texture classification method based on wavelet transform and support vector machine is proposed. First the wavelet transform is adopted to do feature extraction and then classifier is designed with the SVM. Traditional texture classification method based the SVM usually uses the bitmap representation as the input; compared to this method, our strategy can improve the performance of classification, especially in the rotational case. Experimental results proved the effectiveness and efficiency of our method.

Abstract
Key Words
1 Introduction
2. The Realization of Texture Classification Based on Wavelet Transform and SVM
3 Experimental Results
4.Conclusions
References
This content is only available via PDF.
Close Modal
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close Modal
Close Modal