A New Method to Evaluate the Appearance of Cotton Yarn Using Image Processing and Fuzzy Inference System Supported with Graphical User Interface

摘要

The evaluation of the spun yarn appearance is very important to determine its quality. In this paper, based on standard images of ASTM (D 2255) a new method was designed to classify the cotton yarn by using digital image processing and fuzzy inference system (FIS). As a result, all yarns are subjected to the same method of evaluation and thus ensure that the same result will be obtained to classify the yarn objectivity. Regardless of who does the experiment or the laboratory in which the classification is performed? Also, the search was provided with a GUI to facilitate the investment the algorithm of this research without previous knowledge about the used techniques. Thus, save time and effort in the classification processing.