Computer vision for automatic detection and classification of fabric defect employing deep learning algorithm

Purpose The purpose of this paper is to focus on the design and development of computer-aided fabric defect detection and classification employing advanced learning algorithm. Design/methodology/approach To make a fast and effective classification of fabric defect, the authors have considered a char...

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Bibliographic Details
Published in:	International journal of clothing science and technology Vol. 31; no. 4; pp. 510 - 521
Main Authors:	Jeyaraj, Pandia Rajan, Samuel Nadar, Edward Rajan
Format:	Journal Article
Language:	English
Published:	Bradford Emerald Publishing Limited 05.08.2019 Emerald Group Publishing Limited
Subjects:	Accuracy Algorithms Artificial neural networks Automation CAD Classification Computer aided design Computer vision Computing time Datasets Deep learning Defects Design defects Machine learning Performance evaluation Performance indices Scanners Sensitivity analysis Standard data Success Textiles Computer vision Fabric defect detection Feature extraction Defect classifications Deep learning algorithm
ISSN:	0955-6222, 1758-5953
Online Access:	Get full text
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