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Proceedings Paper

Leather texture classification for car industry using neural network development methodology
Author(s): Gerard Yahiaoui; Bertrand Borocco
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Paper 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.

Paper Details

Date Published: 17 December 1993
PDF: 10 pages
Proc. SPIE 1989, Computer Vision for Industry, (17 December 1993); doi: 10.1117/12.164865
Show Author Affiliations
Gerard Yahiaoui, advance and Ecole Speciale de Mecanique et d' Electricite (France)
Bertrand Borocco, PSA Peugeot Citroen (France)


Published in SPIE Proceedings Vol. 1989:
Computer Vision for Industry
Donald W. Braggins, Editor(s)

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