Recursive filtering and edge closing : two primary tools for 3d edge detection

Abstract : This paper deals with edge detection in 3d images such as scanner, magnetic resonance (NMR), or spatio-temporal data. We propose an unified formalism form 3d edge detection using optimal, recursive and separable filters recently introduced for 2d edge detection. Then we obtain some efficient 3d edge detection algorithms having a low comptutational cost. We also show that 3d edge closing enable to extract many edges not provided by the filtering stage without introducing noisy edges. Experimental results obtained on NMR images are shown.
Type de document :
Rapport
RR-1103, INRIA. 1989
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https://hal.inria.fr/inria-00075456
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Soumis le : mercredi 24 mai 2006 - 18:15:41
Dernière modification le : mardi 18 septembre 2018 - 15:38:04
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Olivier Monga, Rachid Deriche, Grégoire Malandain, J.P. Cocquerez. Recursive filtering and edge closing : two primary tools for 3d edge detection. RR-1103, INRIA. 1989. 〈inria-00075456〉

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