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Proceedings Paper

Vision system for finished fabric inspection
Author(s): Stojanovic Radovan; George D. Papadopoulos; Manos Georgoudakis; Panagiotis Mitropulos
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Paper 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.

Paper Details

Date Published: 8 March 2002
PDF: 7 pages
Proc. SPIE 4664, Machine Vision Applications in Industrial Inspection X, (8 March 2002); doi: 10.1117/12.460200
Show Author Affiliations
Stojanovic Radovan, Univ. of Patras (Greece)
George D. Papadopoulos, Univ. of Patras (Greece)
Manos Georgoudakis, Univ. of Patras (Greece)
Panagiotis Mitropulos, Univ. of Patras (Greece)


Published in SPIE Proceedings Vol. 4664:
Machine Vision Applications in Industrial Inspection X
Martin A. Hunt, Editor(s)

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