ML Anthology

Recursive Filtering and Edge Closing: Two Primary Tools for 3-D Edge Detection

Olivier Monga, Rachid Deriche, Grégoire Malandain, Jean Pierre Cocquerez
ECCV 1990 pp. 56-65
doi:10.1007/BFB0014850 /eccv/1990/monga1990eccv-recursive/

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 for 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 computational cost. We also show that 3D edge tracking/closing enables 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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Cite

Text

Monga et al. "Recursive Filtering and Edge Closing: Two Primary Tools for 3-D Edge Detection." European Conference on Computer Vision, 1990. doi:10.1007/BFB0014850

Markdown

[Monga et al. "Recursive Filtering and Edge Closing: Two Primary Tools for 3-D Edge Detection." European Conference on Computer Vision, 1990.](https://mlanthology.org/eccv/1990/monga1990eccv-recursive/) doi:10.1007/BFB0014850

BibTeX

@inproceedings{monga1990eccv-recursive,
  title     = {{Recursive Filtering and Edge Closing: Two Primary Tools for 3-D Edge Detection}},
  author    = {Monga, Olivier and Deriche, Rachid and Malandain, Grégoire and Cocquerez, Jean Pierre},
  booktitle = {European Conference on Computer Vision},
  year      = {1990},
  pages     = {56-65},
  doi       = {10.1007/BFB0014850},
  url       = {https://mlanthology.org/eccv/1990/monga1990eccv-recursive/}
}