Objective evaluation method of fabric pilling based on image analysis
Resistance to pilling is an important test among all fabric performance tests. So far, the subjective evaluation based on visual by expert is not ideal in the consistency and accuracy of rating results. A new objective evaluation method of fabric pilling using image analysis is put forward in this paper. After acquiring fabric pilling images treated with histogram equalization, median filtering, image segmentation based on Pulse Coupling Neutral Networks (PCNN) and area filtering, etc. Pill images are segmented from background. Five features of pills are extracted from two value image, which are the number of pills, the area of pills, the density of pills, the area standard deviation of pills and the largest area of pills. At last, template matching classifying method is adopted to realize the objective evaluation of fabric pilling grading. Different fabric samples are tested in the experiment. The method is proved validly and the accuracy is about 90 percent.
PCNN fabric pilling image segmentation pattern recongnition
Zhu Shuangwu Hao Chongyang Gao Chanjuan Shi Meihong
College of Electronic Information, Northwestern Polytechnical University, Xian 710072, China School College of Electronic Information, Northwestern Polytechnical University, Xian 710072, China School of Textile and Materials, Xian Polytechnic University, Xian 710048, China School of Computer Science, Xian Polytechnic University, Xian 710048, China
国际会议
2006中国国际毛纺织会议暨IWTO羊毛论坛(2006 China International Wool Textile Conference & IWTO Wool Forum)
西安
英文
312-317
2006-11-19（万方平台首次上网日期，不代表论文的发表时间）