الفهرس Only 14 pages are availabe for public view
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Abstract
The conventional method in textile industries for fault detection is human inspection in this method, the classification of produced fabrics and online identification of fault in production line is done by human vision. And automatic fabric evaluation system was produced to analyze the defects of knitted fabrics, therefore evaluate quality of knitted fabric.
Fabric images were captured by a camera and features extracted from the image. Results obtained with the designed system show high detection performance. This system is capable of classifying and grading the fabric defect according to certain defect types by using image processing and artificial neural networks.