Texture Classification Using Spectral Histogram Representations and SVMs

摘要：

In this paper, we present a classifying method using spectral histogram representations and Support Vector Machines(SVMs) for texture features. Each image window is represented by its spectral histogram, which is a feature vector isting of histograms of filtered image. A Gaussian Radial Basis Function(RBF) is chosen on the spectral histogram representation and the SVM is used as classifying function. Comparison experiments between the proposed method and the other two methods: Gabor filtering and Independent Component Analysis(ICA), are performed. The results indicate at the proposed method is an efficient approach for texture classification.

作者: Qihong Huang Hu Chen Zhao Liu

作者单位: College of electronic engineering University of Electionic Science and Technology of China Chengdu, Sichuang, China

会议类型: 国际会议

会议名称: 2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)

会议地点: 广西桂林

会议语种:英文

页码: 226-229

在线出版日期: 2006-06-25（万方平台首次上网日期，不代表论文的发表时间）