3D Noisy Discrete Objects: Segmentation and Application to Smoothing - Archive ouverte HAL
Article Dans Une Revue Pattern Recognition Année : 2009

3D Noisy Discrete Objects: Segmentation and Application to Smoothing

Résumé

We propose in this paper a segmentation process that can deal with noisy discrete objects. A flexible approach considering arithmetic discrete planes with a variable width is used to avoid the over-segmentation that might happen when classical segmentation algorithms based on regular discrete planes are used to decompose the surface of the object. A method to choose a seed and different segmentation strategies according to the shape of the surface are also proposed, as well as an application to smooth the border of convex noisy discrete objects.
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Dates et versions

hal-00439569 , version 1 (07-12-2009)

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Laurent Provot, Isabelle Debled-Rennesson. 3D Noisy Discrete Objects: Segmentation and Application to Smoothing. Pattern Recognition, 2009, 42 (8), pp.1626-1636. ⟨10.1016/j.patcog.2008.11.032⟩. ⟨hal-00439569⟩
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