摘要
In this paper, the features of fabric wrinkle structure are analyzed, by image processing technique. The wrinkle images are processed and character parameters are extracted. The wrinkle side surface area ratio of image gray level intensity, the standard deviation of total pixels’ gray level intensity and the standard deviation of wrinkle block area are adopted to evaluate fabric wrinkling. The results show that these three character parameters can be served for ranking the wrinkling. It provides a feasible objective method for fabrics wrinkling degree assessing.
In this paper, the features of fabric wrinkle structure are analyzed, by image processing technique. The wrinkle images are processed and character parameters are extracted. The wrinkle side surface area ratio of image gray level intensity, the standard deviation of total pixels' gray level intensity and the standard deviation of wrinkle block area are adopted to evaluate fabric wrinkling. The results show that these three character parameters can be served for ranking the wrinkling. It provides a feasible objective method for fabrics wrinkling degree assessing.
