Artificial Neural Networks for Automated Quality Control of Textile Seams

Bahlmann C, Heidemann G, Ritter H (1999)
Pattern Recognition 32(6): 1049-1060.

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Journal Article | Published | English
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We present a method for an automated quality control of textile seams, which is aimed to establish a standardized quality measure and to lower coals 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. (C) 1999 Pattern Recognition Society. Published by Elsevier Science Ltd, All rights reserved.
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Bahlmann C, Heidemann G, Ritter H. Artificial Neural Networks for Automated Quality Control of Textile Seams. Pattern Recognition. 1999;32(6):1049-1060.
Bahlmann, C., Heidemann, G., & Ritter, H. (1999). Artificial Neural Networks for Automated Quality Control of Textile Seams. Pattern Recognition, 32(6), 1049-1060.
Bahlmann, C., Heidemann, G., and Ritter, H. (1999). Artificial Neural Networks for Automated Quality Control of Textile Seams. Pattern Recognition 32, 1049-1060.
Bahlmann, C., Heidemann, G., & Ritter, H., 1999. Artificial Neural Networks for Automated Quality Control of Textile Seams. Pattern Recognition, 32(6), p 1049-1060.
C. Bahlmann, G. Heidemann, and H. Ritter, “Artificial Neural Networks for Automated Quality Control of Textile Seams”, Pattern Recognition, vol. 32, 1999, pp. 1049-1060.
Bahlmann, C., Heidemann, G., Ritter, H.: Artificial Neural Networks for Automated Quality Control of Textile Seams. Pattern Recognition. 32, 1049-1060 (1999).
Bahlmann, Claus, Heidemann, Gunther, and Ritter, Helge. “Artificial Neural Networks for Automated Quality Control of Textile Seams”. Pattern Recognition 32.6 (1999): 1049-1060.
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