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Proceedings Paper

Digital Image Processing Applied To Quality Assurance In Mineral Industry
Author(s): Z. Hamrouni; A. Ayache; C. Krey
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Paper Abstract

In this paper , we bring forward an application of vision in the domain of quality assurance in mineral industry of talc. By using image processing and computer vision means, the proposed real time whiteness captor system intends: - to inspect the whiteness of grinded product, - to manage the mixing of primary talcs before grinding, in order to obtain a final product with predetermined whiteness. The system uses the robotic CCD microcamera MICAM (designed by our laboratory and presently manufactured), a micro computer system based on Motorola 68020 and real time image processing boards. It has the industrial following specifications: - High reliability - Whiteness is determined with a 0.3% precision on a scale of 25 levels. Because of the expected precision, we had to study carefully the lighting system, the type of image captor and associated electronics. The first developped softwares are able to process the withness of talcum powder; then we have conceived original algorithms to control withness of rough talc taking into account texture and shadows. The processing times of these algorithms are completely compatible with industrial rates. This system can be applied to other domains where high precision reflectance captor is needed: industry of paper, paints, ...

Paper Details

Date Published: 29 March 1989
PDF: 10 pages
Proc. SPIE 1076, Image Understanding and the Man-Machine Interface II, (29 March 1989); doi: 10.1117/12.952685
Show Author Affiliations
Z. Hamrouni, Laboratoire "Vision par Calculateur Andre Bruel" (France)
A. Ayache, Laboratoire "Vision par Calculateur Andre Bruel" (France)
C. Krey, Laboratoire "Vision par Calculateur Andre Bruel" (France)

Published in SPIE Proceedings Vol. 1076:
Image Understanding and the Man-Machine Interface II
Eamon B. Barrett; James J. Pearson, Editor(s)

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