A novel thermal-based fabric defect detection technique

YILDIZ K., BULDU A., Demetgul M., YILDIZ Z.

JOURNAL OF THE TEXTILE INSTITUTE, cilt.106, sa.3, ss.275-283, 2015 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 106 Sayı: 3
  • Basım Tarihi: 2015
  • Doi Numarası: 10.1080/00405000.2014.916063
  • Dergi Adı: JOURNAL OF THE TEXTILE INSTITUTE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.275-283
  • Anahtar Kelimeler: image processing, fabric quality control, thermal camera, defect detection, fast Fourier transform, GABOR FILTERS, ADAPTIVE WAVELETS, CLASSIFICATION, TRANSFORMS, FOURIER, IMAGES
  • Marmara Üniversitesi Adresli: Evet

Özet

During the fabric production process, many defects can be occurred stemming from the unevenness in spinning, weaving, finishing processes, or from the raw materials. The fabric quality control process for the detection of these defects is carried out by specialist operators. In this paper, a new method based on the use of thermal camera for detecting these defects from the textile fabric images is presented. For identification process of defective area, fabric images were obtained by a thermal camera during the fabric flow in quality control machine that was specially designed for this experiment. Defective and defect-free regions on fabric surface were determined by thermal camera due to the thermal differences. The mentioned thermal defect detection system will eliminate the worker usage for fabric quality control process, thus it will provide a cost-effective and competitive manufacturing.