Semantic graph and arc consistency in "true" three dimensional image labelling

Authors:
A. Deruyver;Y. Hode
Affiliations:
-;-
Venue:
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Year:
1995

Citing 5
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Abstract

This paper presents a new algorithm for arc consistency working on dataset containing over-segmented objects without previous knowledge about this over-segmentation. We introduce in the algorithm of Mohr and Henderson [1986] the notion of transitivity between regions which seem belonging to the same object. This algorithm has been tested on "true" three dimensional images. The tests made on a set of 20 nuclear resonance magnetic cerebral images show the reliability of this method to identify the three dimensional objects of the brain.