Country not found in response Defect Detection in Fabric Materials
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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M.Tech / M.E / PhD Thesis | Electronics & Communication Engineering | India | Volume 3 Issue 6, June 2014 | Popularity: 6.9 / 10


     

Defect Detection in Fabric Materials

Anuradha Late, Shweta Jain


Abstract: This paper investigates various approaches for automated inspection of textured materials using Gabor filters. A new supervised defect detection approach is used to detect defect in textile web. Unsupervised web inspection is used with multichannel filtering scheme. This scheme establishes high computational savings and results in high quality of defect detection. The experimental results conducted on real fabric defects for both approaches proposed in this paper.


Keywords: Computer vision, defect detection, Gabor filters, Gabor wavelets, industrial automation, multichannel filtering, quality assurance, textile industry


Edition: Volume 3 Issue 6, June 2014


Pages: 266 - 268



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Anuradha Late, Shweta Jain, "Defect Detection in Fabric Materials", International Journal of Science and Research (IJSR), Volume 3 Issue 6, June 2014, pp. 266-268, https://www.ijsr.net/getabstract.php?paperid=20132271, DOI: https://www.doi.org/10.21275/20132271

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