FABRIC DEFECTS SEGMENTATION APPROACH BASED ON TEXTURE PRIMITIVE

摘要：

A new fabric defects segmentation approach based on texture primitive is put forward in the paper, which consists of four steps: 1) calculating texture primitive template using auto-correlation function; 2) enhancing defect image through calculating difference between each texture primitive and primitive template; 3) constructing mean gradation image to attenuate the high frequent background information; 4) segmenting defect images according to threshold values acquired automatically through Otsus approach, etc.Validity and robustness of the approach were proved by different fabric defect images segmentation experiment.

关键词： Texture primitive Fabric detection Image enhancement Defect segmentation

作者: SHUANG-WU ZHU HONG-YANG HAO PENG-YANG LI MEI-HONG SHI HUA QI

作者单位: College of Electronic Information, Northwestern Polytechnical University, xian 710072,China;College College of Electronic Information, Northwestern Polytechnical University, xian 710072,China College of Textile and material, Xian Polytechnic University, xian 710048,China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1596-1600

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）