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Artificial neural networks for automated quality control of textile seams

✍ Scribed by Claus Bahlmann; Gunther Heidemann; Helge Ritter


Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
797 KB
Volume
32
Category
Article
ISSN
0031-3203

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✦ Synopsis


We present a method for an automated quality control of textile seams, which is aimed to establish a standardized quality measure and to lower costs in manufacturing. The system consists of a suitable image acquisition setup, an algorithm for locating the seam, a feature extraction stage and a neural network of the self-organizing map type for feature classification. A procedure to select an optimized feature set carrying the information relevant for classification is described.


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