Paper
17 December 1993 Leather texture classification for car industry using neural network development methodology
Gerard Yahiaoui, Bertrand Borocco
Author Affiliations +
Proceedings Volume 1989, Computer Vision for Industry; (1993) https://doi.org/10.1117/12.164865
Event: Electronic Imaging Device Engineering, 1993, Munich, Germany
Abstract
In this paper, we describe an application of neural network for the classification of natural materials textures. We developed this solution in the context of leather quality control. This leather is used in car sits manufacturing. The aim of this control is to make sure of the compatibility of every visual aspect in the whole car. This job is currently processed by human experts that cannot inspect every sits with the same attention. The automation of such a process is very complicated because it is necessary to build a model of human vision in order to take into account how a texture is interpreted as an aspect.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gerard Yahiaoui and Bertrand Borocco "Leather texture classification for car industry using neural network development methodology", Proc. SPIE 1989, Computer Vision for Industry, (17 December 1993); https://doi.org/10.1117/12.164865
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KEYWORDS
Neural networks

Image classification

Fractal analysis

Computer vision technology

Machine vision

Image processing

Inspection

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