ML Anthology

3D Edge Detection Using Recursive Filtering: Application to Scanner Images

Olivier Monga, Rachid Deriche
CVPR 1989 pp. 28-35
doi:10.1109/CVPR.1989.37825 /cvpr/1989/monga1989cvpr-d/

Abstract

A novel algorithm for three-dimensional edge detection is proposed. This method is an extension to the 3D case of the optimal 2D edge detector recently introduced by R. Deriche (1987). The authors present better theoretical and experimental performances than some classical approaches used previously. Experimental results obtained on magnetic-resonance images and on echographic images are shown. It is pointed out that this approach can be used to detect edges in other multidimensional data, for instance, 2D+t or 3D+t images.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Monga and Deriche. "3D Edge Detection Using Recursive Filtering: Application to Scanner Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1989. doi:10.1109/CVPR.1989.37825

Markdown

[Monga and Deriche. "3D Edge Detection Using Recursive Filtering: Application to Scanner Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1989.](https://mlanthology.org/cvpr/1989/monga1989cvpr-d/) doi:10.1109/CVPR.1989.37825

BibTeX

@inproceedings{monga1989cvpr-d,
  title     = {{3D Edge Detection Using Recursive Filtering: Application to Scanner Images}},
  author    = {Monga, Olivier and Deriche, Rachid},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1989},
  pages     = {28-35},
  doi       = {10.1109/CVPR.1989.37825},
  url       = {https://mlanthology.org/cvpr/1989/monga1989cvpr-d/}
}