Unsupervised Patterned Fabric Defect Detection using Texture Filtering and K-Means clustering

Faculty	Engineering	Year:	2017
Type of Publication:	ZU Hosted	Pages:
Authors:	Azhar Ahmed Hamdy Abdelsatar Staff Zu Site Abstract In Staff Site
Journal:	ITEC 2018 IEEE conference	Volume:

Keywords :	Unsupervised Patterned Fabric Defect Detection using
Abstract:	This paper introduces an unsupervised fabric defect detection algorithm that does not need any user-adaptation and reveals high detection accuracy rates at the same time. This algorithm is mainly applied to patterned fabrics and can be exte

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