ROTATION INVARIANT TEXTURE CLASSIFICATION BASED ON SUPPORT VECTOR MACHINE AND WAVELET TRANSFORM

摘要：

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.

关键词： Texture classification Wavelet transform Feature Extraction Support Vector Machine

作者: XING-LING WANG BING-YU SUN

作者单位: National Disaster Reduction Center of China No. 6 Guangbaidong Road,Beijing China,100124 Institute of Intelligent Machines Chinese Academy of Sciences P.O.Box 1130,Hefei,,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer Technology and Development(2011第三届计算机技术与发展国际会议 ICCTD2011)

会议地点: 成都

会议语种:英文

页码: 1560-1564

在线出版日期: 2011-11-25（万方平台首次上网日期，不代表论文的发表时间）