Bebis, George (Ed.) et al.: Advances in Visual Computing. 12th International Symposium, ISVC 2016 : Proceedings, Part I. Berlin, Heidelberg, New York: Springer, 2016. (Lecture Notes in Computer Science (LNCS) 10072), pp. 181-192
International Symposium on Visual Computing (ISVC) <12, 2016, Las Vegas, NV, USA>
The visual detection of defects in textiles is an important application in the textile industry. Existing systems require textiles to be spread flat so they appear as 2D surfaces, in order to detect defects. In contrast, we show classification of textiles and textile feature extraction methods, which can be used when textiles are in inhomogeneous, voluminous shape. We present a novel approach on image normalization to be used in stain-defect recognition. The acquired database consist of images of piles of textiles, taken using stereo vision. The results show that a simple classifier using normalized images outperforms other approaches using machine learning in classification accuracy.