Analysis and Research of the Fabric Density based on the Wavelet Transform

摘要：

The multiple layers decomposition and reconstruction on the textile images by wavelet transform information about the warp and weft in the fabrics is obtained, and then image feature extraction, which makes it feasible for the detection of texture density. With this new technique, the fabrics images are segmented and restored through Halcon, after binarization and smoothing processing, images have a clear warp and weft, and then accurately get the density of fabric. The experimental results show that the method is feasible, stable, and had the desired results.

关键词： Fabric density Halcon Wavelet transform Feature extraction

作者: Yilin QIN Fangling XU

作者单位: Changzhou College of Information Technology Changzhou, China Jiangsu University of Science and Techn Jiangsu University of Science and Technology Zhenjiang, China

会议类型: 国际会议

会议名称: 2012 Fifth International Symposium on Computational Intelligence and Design 第五届计算智能与设计国际会议 ISCID 2012

会议地点: 杭州

会议语种:英文

页码: 197-200

在线出版日期: 2012-10-28（万方平台首次上网日期，不代表论文的发表时间）