Title :
Semantic graph and arc consistency in “true” three dimensional image labelling
Author :
Deruyver, A. ; Hodé, Y.
Author_Institution :
Dept. d´´Inf, IUT Strasbourg Sud, Illkirch, France
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
Keywords :
biomedical NMR; brain; graph theory; image recognition; image segmentation; medical image processing; object recognition; algorithm; arc consistency; brain; nuclear resonance magnetic cerebral images; object; over-segmented objects; semantic graph consistency; transitivity; true three dimensional image labelling; Brain; Image analysis; Image segmentation; Information analysis; Knowledge representation; Labeling; Magnetic resonance imaging; Nuclear magnetic resonance; Pattern recognition; Testing;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.537555
