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Logique floue en segmentation d'images : seuillage par entropie et structures pyramidales irrégulières

Gilson Braviano 1
TIMC-IMAG - Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525
Abstract : In opposite to classic logic, fuzzy logic enables to manipulate another thuth values than 'true' or 'false'. In this work, we study the introduction of this logic in image segmentation process. First and second order techniques are presented and applied to several images. Two thresholding methods, based on fuzzy entropy are developped. A cooperation between these methods and the adapted classic entropy is proposed to segment cytological images. Second order segmentation techniques that use the pyramid notion are presented. Irregular pyramids are studied and their theoretic support based on graphs theory is formalised. The introduction of a fuzzy factor on segmentation process, based in the graphs pyramid is proposed. This is donne with fuzzy vertices and edges, which create the fuzzy pyramid. All procedures are parallelisable. The order in which the graphs elements of the pyramid levels are evalueted doesn't have any importance.
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Submitted on : Tuesday, February 24, 2004 - 9:54:27 AM
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  • HAL Id : tel-00005033, version 1



Gilson Braviano. Logique floue en segmentation d'images : seuillage par entropie et structures pyramidales irrégulières. Interface homme-machine [cs.HC]. Université Joseph-Fourier - Grenoble I, 1995. Français. ⟨tel-00005033⟩



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