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Reports Year : 1989

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

Olivier Monga
Rachid Deriche
  • Function : Author
  • PersonId : 943743
Grégoire Malandain
J.P. Cocquerez
  • Function : Author

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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Other [cs.OH]
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Dates and versions

inria-00075456 , version 1 (24-05-2006)

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  • HAL Id : inria-00075456 , version 1

Cite

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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