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Proceedings Paper

State-space search as high-level control for machine vision
Author(s): Shu-Yuen Hwang
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Paper Abstract

In order to construct a machine-vision system which is robust in the face of variations in image lighting arrangements of objects viewing parameters etc. it is helpful to model the vision problem as a state-space search problem. The state-space search procedure dynamically determines an optimal sequence of image-processing operators to classify an image or to put its parts into correspondence with a model or set of models. The optimal goal state is the one with the least information distortion. The critical problem in this approach is how to compute information distortion. Details about the design of cost functions in terms of information distortions are described. A vision system VISTAS has been constructed under the state-space search model. The principles in constructing the system are presented.

Paper Details

Date Published: 1 March 1991
PDF: 12 pages
Proc. SPIE 1386, Machine Vision Systems Integration in Industry, (1 March 1991); doi: 10.1117/12.25386
Show Author Affiliations
Shu-Yuen Hwang, National Chiao Tung Univ. (Taiwan)

Published in SPIE Proceedings Vol. 1386:
Machine Vision Systems Integration in Industry
Bruce G. Batchelor; Frederick M. Waltz, Editor(s)

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