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Proceedings Paper

Automatic vision system for an objective cotation of textile surfaces
Author(s): Hubert Konik; Bernard Laget; Bernard Redortier; Maurice Calonnier
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Paper Abstract

This paper presents a general method for achieving an automatic vision system for the quantification of visual aspects in the textile field. The process begins in fact with the decomposition of the image into a structure and a texture image. This operation is achieved by filtering in the Fourier domain, following an additive model of decomposition with disconnected masks. Some new quantifiers are then computed for texture images and a segmentation is only done if necessary. A new method is introduced as well by using localized pyramids, called local pyramids, centered on each of the relevant parts and no more critical for particularly elongated objects. The results are also efficient on more than 200 images, where the automatic conation is in accordance with the expert evaluations.

Paper Details

Date Published: 21 February 1996
PDF: 12 pages
Proc. SPIE 2665, Machine Vision Applications in Industrial Inspection IV, (21 February 1996); doi: 10.1117/12.232231
Show Author Affiliations
Hubert Konik, Univ. Jean Monnet (France)
Bernard Laget, Univ. Jean Monnet (France)
Bernard Redortier, Institut Textile de France (France)
Maurice Calonnier, Institut Textile de France (France)

Published in SPIE Proceedings Vol. 2665:
Machine Vision Applications in Industrial Inspection IV
A. Ravishankar Rao; Ning Chang, Editor(s)

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