Fabric Texture Classification Based on Wavelet Packet

摘要：

The main energy of texture image is concentrated on middle frequency regain, but ordinary image on low frequency regain. With increasing the resolution level, wavelet transform focuses on low frequency domain, but wavelet packet on any frequency domain. Therefore it is very effective to use wavelet packet algorithm to classify the fabric texture. In this study, we use wavelet packet and BP neural network together to classify the fabric texture. Experimental result shows that the classification rate can attain 98％.

关键词： Wavelet packet BP neural network fabric texture classification

作者: Liu Shuguang Qu Pingge

作者单位: Xian Polytechnic University,Xian 710048 China

会议类型: 国际会议

会议名称: 第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）