Texture Classification Based on Nonsubsampled Directional Filter Banks and Support Vector Machines

摘要：

Multiscale decomposition of the source images is performed with stationary wavelet combining multiscale of wavelet transform and multidirection of Contourlet transform. Then,Directional decomposition of the high-frequency subbands in every scale is also made with nonsubsampled directional filter banks. Finally, Texture feature is extracted based on this and support vector machines are used to the texture classification. The experiment results show the proposed method can get more results for texture classification.

关键词： Feature extraction Texture classification Nonsubsampled contourlet transform SWT-NSDFB SVM

作者: Gao Decheng Wang Jianguo

作者单位: Deans Office Taishan University Taian,China

会议类型: 国际会议

会议名称: 2010 Second Asia-Pacific Conference on Information Processing(2010年第二届亚太地区信息处理国际会议 APCIP 2010)

会议地点: 南昌

会议语种:英文

页码: 470-473

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）