Automatic recognition for striped woven fabric pattern

作者：Xiao Zhitao; Nie Xinxin; Zhang Fang^*; Geng Lei; Wu Jun; Li Yuelong

来源：Journal of the Textile Institute, 2015, 106(4): 409-416.

DOI：10.1080/00405000.2014.924655

• striped woven fabric
• gradient histogram
• Gray-Level Co-occurrence Matrix (GLCM)
• texture classification
• fuzzy C-means (FCM) clustering

Three basic weaves and fancy woven fabrics can be recognized usually. But the recognition of the striped woven fabric pattern is a challenging work, because it contains two or more types of woven fabrics. A robust striped woven fabric pattern recognition method is presented in this paper, through which the striped woven fabric pattern could be segmented into three basic weaves and fancy woven fabrics based on Gray-Level Co-occurrence Matrix (GLCM). Firstly, scanning window is selected automatically by analyzing the characteristics of the striped woven fabric, and features are extracted in this window based on GLCM. Then we compute the correlation coefficient between the adjacent windows and complete the segmentation of striped woven fabric. At last, the segmented woven fabric patterns are recognized based on the approach of gradient histogram. According to the tests, we concluded that this method can segment and recognize the striped woven fabric patterns successfully, which can overcome the effects of thickness and color of yarns changing, and uneven illumination.

• 出版日期2015-4-3
• 单位天津工业大学