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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.
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https://hal.inria.fr/inria-00075456
Contributor : Rapport de Recherche Inria <>
Submitted on : Wednesday, May 24, 2006 - 6:15:41 PM
Last modification on : Thursday, February 11, 2021 - 2:50:07 PM
Long-term archiving on: : Tuesday, April 12, 2011 - 11:10:34 PM

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  • HAL Id : inria-00075456, version 1

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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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