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Proceedings Paper

Sequence of texture images and process control
Author(s): Ari J. E. Visa; Sami Autio
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Paper Abstract

The demand on higher quality of products together with recent progress in texture recognition have made it possible to consider old processes in a new way. It has been common that the human operators have used visual appearance to control e.g. mixing, floating, or cooking processes. Now a methodology based on time series of textured images is reported and demonstrated. The methodology is aimed to help the human operators either to monitor or to control the processes. The main idea is that a sequence of images is taken. Each image in a sequence is interpreted and characterized as a texture image. The textured image is transformed. It is also possible that suitable features are extracted from the transformed texture image. The transformed images or the features are used together with the corresponding values from preceding and succeeding images to characterize the process. Some results are reported here. The key points how to apply the methodology are also discussed.

Paper Details

Date Published: 11 October 2000
PDF: 6 pages
Proc. SPIE 4197, Intelligent Robots and Computer Vision XIX: Algorithms, Techniques, and Active Vision, (11 October 2000); doi: 10.1117/12.403755
Show Author Affiliations
Ari J. E. Visa, Tampere Univ. of Technology (Finland)
Sami Autio, Tampere Univ. of Technology (Finland)


Published in SPIE Proceedings Vol. 4197:
Intelligent Robots and Computer Vision XIX: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)

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