Artificial neural networks for automated quality control of textile seams
نویسندگان
چکیده
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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ورودعنوان ژورنال:
- Pattern Recognition
دوره 32 شماره
صفحات -
تاریخ انتشار 1999