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Proceedings Paper

Applications of hybrid optical methods in mineral processing control systems
Author(s): Jacek Galas; Stanislaw Lenczowski; Marek Daszkiewicz
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Paper Abstract

The image of the froth surface in the mineral processing plant contains the information about the froth composition, which can be very useful for an automation of a technological process. The image processing and recognition method are the tools for analysis of this information. Different stages of technological process can be described by data extracted from optical images of processed materials. Images, transformed in the optical part of the hybrid system to the form suitable for feature extraction process, are read by the computer. The transformed data are analyzed in the digital part of the hybrid system. The set of image parameters, extracted from an image transforms, is evaluated by statistical analysis. The synthetic image descriptors (which are also the synthetic descriptors of different stages of technological process) are constructed on the base of training groups of images by discriminant analysis, during the learning step of presented methods. When image (and also technological process) descriptors are constructed, the method allows to recognize the technological process stage and next to control this process via the expert system. This paper presents the theoretical background of the method and the image analysis results.

Paper Details

Date Published: 23 November 1994
PDF: 8 pages
Proc. SPIE 2249, Automated 3D and 2D Vision, (23 November 1994); doi: 10.1117/12.196090
Show Author Affiliations
Jacek Galas, Institute of Applied Optics (Poland)
Stanislaw Lenczowski, Institute of Applied Optics (Poland)
Marek Daszkiewicz, Institute of Applied Optics (Poland)

Published in SPIE Proceedings Vol. 2249:
Automated 3D and 2D Vision
Rolf-Juergen Ahlers; Donald W. Braggins; Gary W. Kamerman, Editor(s)

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