اكتشاف و تصنيف العيوب في الاقمشة المنسوجة بواسطة فلاتر جابور و الشبكة العصبية

Given the importance of the industry and because the quality of the products reflect the promoted and progress and the advancement of the economy of any country , including the textile industry one of the most important industries that require quality. As the methods of automation was necessary to use computer vision and image processing to increase the speed and efficiency of this process. Aims of the proposed work to integrate the image processing methods and intelligence techniques as well as statistical approaches. Where analysis techniques multiple scales multi-scale and multidirectional multi-orientation as a filter Gabor are used. an‎d this filter has proven its efficiency in edge detection and give the best features by which they are distinguished types of defects which you may get during the spinning and weaving . Hence the formulation of how they can address the installation of textile and defective areas of the cloth and to identify any kind of flaws in them. To raise the level of this process when checking