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