Recognition for woven fabric pattern based on gradient histogram

Abstract

To identify woven fabric pattern, a robust recognition method is presented in this paper. Firstly, using gray image of woven fabric through gray projection, we correct the warp deviation and segment crossed-area of warp and weft. Then, based on the gradient histogram information, we get the texture features of crossed-area, which can determine the state of crossed-area. Through which we can obtain the recognition preliminarily, which can overcome the effects of scale and color change of woven fabric and achieve high accuracy. According to the woven fabric periodicity, the error recognition is corrected. This method is validated with real woven fabric images, which can get woven fabric pattern diagram successfully. According to the extensive tests, we concluded that this method can achieve the recognition of woven fabrics with complex patterns and colors.