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Proceedings Paper

Rule-based system for region segmentation improvement in stereovision
Author(s): Max Buvry; E. Zagrouba; Charlie J. Krey
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Paper Abstract

The aim of this work is to develop a method to improve the region segmentation of images by considering each image separately and taking into account the results of the matching process. The method is carried out in several steps. First, an initial region segmentation is computed by using a split-and-merge algorithm cooperating with an edge extractor. Then, a rule-based system is used in order to improve the initial region segmentation. In the second step of the method, the regions of the images are matched by an iterative algorithm; only the reliable matches are performed and for this reason, numerous regions are left unmatched. Then, these regions are treated by another rule-based system by comparing the homologous regions on each image. Both the image segmentation and the matching results are improved at the same time making easier the 3-D reconstruction of the facets corresponding to the matched regions.

Paper Details

Date Published: 23 March 1994
PDF: 11 pages
Proc. SPIE 2182, Image and Video Processing II, (23 March 1994); doi: 10.1117/12.171084
Show Author Affiliations
Max Buvry, ENSEEIHT (France)
E. Zagrouba, ENSEEIHT (France)
Charlie J. Krey, ENSEEIHT (France)

Published in SPIE Proceedings Vol. 2182:
Image and Video Processing II
Sarah A. Rajala; Robert L. Stevenson, Editor(s)

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