Paper
21 February 1996 Automatic vision system for an objective cotation of textile surfaces
Hubert Konik, Bernard Laget, Bernard Redortier, Maurice Calonnier
Author Affiliations +
Proceedings Volume 2665, Machine Vision Applications in Industrial Inspection IV; (1996) https://doi.org/10.1117/12.232231
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hubert Konik, Bernard Laget, Bernard Redortier, and Maurice Calonnier "Automatic vision system for an objective cotation of textile surfaces", Proc. SPIE 2665, Machine Vision Applications in Industrial Inspection IV, (21 February 1996); https://doi.org/10.1117/12.232231
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KEYWORDS
Image segmentation

Image processing

Visualization

Stochastic processes

Fourier transforms

Binary data

Image resolution

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