Paper
6 July 1999 Automatic quality control of textile webs by image processing
Author Affiliations +
Proceedings Volume 3572, 3rd Iberoamerican Optics Meeting and 6th Latin American Meeting on Optics, Lasers, and Their Applications; (1999) https://doi.org/10.1117/12.358397
Event: 3rd Iberoamerican Optics Meeting and 6th Latin American Meeting on Optics, Lasers, and Their Applications, 1998, Cartagena de Indias, Colombia
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maria Sagrario Millan Garcia-Verela, Jaume Escofet, Hector C. Abril, Rafael Fonolla Navarro, and Yezid M. Torres Moreno "Automatic quality control of textile webs by image processing", Proc. SPIE 3572, 3rd Iberoamerican Optics Meeting and 6th Latin American Meeting on Optics, Lasers, and Their Applications, (6 July 1999); https://doi.org/10.1117/12.358397
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Cited by 4 scholarly publications.
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KEYWORDS
Image processing

Image segmentation

Automatic control

Image quality

Resistance

Defect detection

Visualization

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