Vision System for Finished Fabric Inspection

摘要

In the textile industry, the quality of the finished fabric is subjectively determined by human inspectors resulting in inconsistent quab'ty control. This paper presents a system and a methodology that detects the defects on textile fabric automatically and classifies them into one of the pre-defined classes with repeatable accuracy. The overall inspection process is based on color image processing. Emphasis is given on a problem of feature extraction using different color spaces. For these purposes the first order and the second order statistics are implemented. Since both the calculation and comparison of the features consume time, the template matching and k-NN classifier are used for classification.