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Proceedings Paper

Intelligent chain extractor using scene and sensor constraints
Author(s): Raphael J. Horak
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Paper Abstract

Edge extraction and chaining of the edgels often don't use external information and are automatic processes which rely on some manually adjusted parameters. This paper shows that in many cases external information exits and can be used to improve edge extraction and chaining. It also shows how this can be done and gives a few examples. External information can take many forms: a brief description of the scene from which the image is taken, results of the processing of another image of the same scene, knowledge of the sensor. Instead of using a `blind process' which refers to fixed parameters and which considers every pixel in the same way, the idea of the paper is to exploit the external information during all the phases of the image processing. The paper describes different cases of external information usage and explains how this information can be used to improve edge, chain or segment extraction. Examples are given both in infrared and MMW domains.

Paper Details

Date Published: 10 October 1994
PDF: 13 pages
Proc. SPIE 2353, Intelligent Robots and Computer Vision XIII: Algorithms and Computer Vision, (10 October 1994); doi: 10.1117/12.188886
Show Author Affiliations
Raphael J. Horak, Thomson-CSF (France)

Published in SPIE Proceedings Vol. 2353:
Intelligent Robots and Computer Vision XIII: Algorithms and Computer Vision
David P. Casasent, Editor(s)

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