Textile Woven-fabric Recognition by Using Fourier Image-analysis Techniques: Part I: A Fully Automatic Approach for Crossed-points Detection

One of the major problems in automatic woven-fabric recognition is how to detect the areas of interlacing warp and weft yams. This problem is termed ‘crossed-points detection’. With a non-periodic design, such as flowers, which may sometimes occur over a woven-fabric background, tbe problem of crossed-points detection becomes very difficult. In this work, we propose a new and fully automatic method based on Fourier image-analysis techniques. The application of this method to simple woven fabric, as well as to fabric with skewness or with non-periodic design, demonstrates the ability to solve such crossed-points-detection problems. Finally the algorithm is evaluated visually by superposing the detected grid image on the initial woven-fabric image. All the detected crossed-points are displayed independently and may be saved as file-format images for further processing.