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Automated Fabric Fault Detection by Revathy G is a document available to read on EtoBox.

What is Automated Fabric Fault Detection about?

This document discusses an automated approach for fault detection in fabrics using classification and neural networks. It begins by reviewing existing literature on textile defect detection. Common fabric defects like holes, scratches, and dirty spots are discussed. The proposed methodology involves acquiring fabric images, converting them to grayscale, removing noise, thresholding to binary, and analyzing the histogram to detect defects. A neural network is then used for classification. The automated appro

Author
Revathy G
Language
EN