Leather texture classification for car industry using neural network development methodology

Gerard Yahiaoui; Bertrand Borocco

doi:10.1117/12.164865

17 December 1993 Leather texture classification for car industry using neural network development methodology

Gerard Yahiaoui, Bertrand Borocco

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.

Citation Download Citation

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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