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Proceedings Paper

Automatic quality control of textile webs by image processing
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Paper Abstract

Various techniques based on image processing are presented for the automatic quality control of textiles. General defects (shrinking, abrasion, etc.) are detected by using operations in the frequency domain. Local defects (broken threads, mispicks, double yarns, etc.) are detected using a method based on a multiscale and multiorientation Gabor scheme that imitates the visual coding in early human vision. Also pilling resistance is automatically evaluated in wear-and-tear fabrics by a new algorithm which combines operations in both the spatial and frequency domain.

Paper Details

Date Published: 6 July 1999
PDF: 4 pages
Proc. SPIE 3572, 3rd Iberoamerican Optics Meeting and 6th Latin American Meeting on Optics, Lasers, and Their Applications, (6 July 1999); doi: 10.1117/12.358397
Show Author Affiliations
Maria Sagrario Millan Garcia-Verela, Univ. Politecnica de Catalunya (Spain)
Jaume Escofet, Univ. Politecnica de Catalunya (Spain)
Hector C. Abril, Univ. Politecnica de Catalunya (Spain)
Rafael Fonolla Navarro, CSIC Instituto de Optica (Spain)
Yezid M. Torres Moreno, Univ. Industrial de Santander (Colombia)


Published in SPIE Proceedings Vol. 3572:
3rd Iberoamerican Optics Meeting and 6th Latin American Meeting on Optics, Lasers, and Their Applications
Angela Maria Guzman, Editor(s)

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