Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Review of Printed Fabric Pattern Segmentation Analysis and Application

Review of Printed Fabric Pattern Segmentation Analysis and Application AbstractImage processing of digital images is one of the essential categories of image transformation in the theory and practice of digital pattern analysis and computer vision. Automated pattern recognition systems are much needed in the textile industry more importantly when the quality control of products is a significant problem. The printed fabric pattern segmentation procedure is carried out since human interaction proves to be unsatisfactory and costly. Hence, to reduce the cost and wastage of time, automatic segmentation and pattern recognition are required. Several robust and efficient segmentation algorithms are established for pattern recognition. In this paper, different automated methods are presented to segregate printed patterns from textiles fabric. This has become necessary because quality product devoid of any disturbances is the ultimate aim of the textile printing industry. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Autex Research Journal de Gruyter

Review of Printed Fabric Pattern Segmentation Analysis and Application

Autex Research Journal , Volume 20 (4): 9 – Dec 1, 2020

Loading next page...
 
/lp/de-gruyter/review-of-printed-fabric-pattern-segmentation-analysis-and-application-aFP00LaBxt
Publisher
de Gruyter
Copyright
© 2020 Charles Kumah et al., published by Sciendo
ISSN
2300-0929
eISSN
2300-0929
DOI
10.2478/aut-2019-0049
Publisher site
See Article on Publisher Site

Abstract

AbstractImage processing of digital images is one of the essential categories of image transformation in the theory and practice of digital pattern analysis and computer vision. Automated pattern recognition systems are much needed in the textile industry more importantly when the quality control of products is a significant problem. The printed fabric pattern segmentation procedure is carried out since human interaction proves to be unsatisfactory and costly. Hence, to reduce the cost and wastage of time, automatic segmentation and pattern recognition are required. Several robust and efficient segmentation algorithms are established for pattern recognition. In this paper, different automated methods are presented to segregate printed patterns from textiles fabric. This has become necessary because quality product devoid of any disturbances is the ultimate aim of the textile printing industry.

Journal

Autex Research Journalde Gruyter

Published: Dec 1, 2020

References