Vision system for finished fabric inspection

Stojanovic Radovan; George D. Papadopoulos; Manos Georgoudakis; Panagiotis Mitropulos

doi:10.1117/12.460200

8 March 2002 Vision system for finished fabric inspection

Stojanovic Radovan, George D. Papadopoulos, Manos Georgoudakis, Panagiotis Mitropulos

Proceedings Volume 4664, Machine Vision Applications in Industrial Inspection X; (2002) https://doi.org/10.1117/12.460200
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

In the textile industry, the quality of the finished fabric is subjectively determined by human inspectors resulting in inconsistent quality 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.

Citation Download Citation

Stojanovic Radovan, George D. Papadopoulos, Manos Georgoudakis, and Panagiotis Mitropulos "Vision system for finished fabric inspection", Proc. SPIE 4664, Machine Vision Applications in Industrial Inspection X, (8 March 2002); https://doi.org/10.1117/12.460200

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