TY  - JOUR
AB  - 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.
DA  - 1999
DO  - 10.1016/S0031-3203(98)00128-9
KW  - textile seams
KW  - feature selection
KW  - quality control
KW  - self-organizing feature maps (SOFM)
KW  - neural networks
LA  - eng
IS  - 6
M2  - 1049
PY  - 1999
SN  - 0031-3203
SP  - 1049-1060
T2  - Pattern Recognition
TI  - Artificial Neural Networks for Automated Quality Control of Textile Seams
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-16229944
Y2  - 2024-11-22T02:10:42
ER  -