Practical Edge Finding with a Robust Estimator

Fleck, Margaret M.

doi:10.1109/CVPR.1994.323785

Practical Edge Finding with a Robust Estimator

Margaret M. Fleck

CVPR 1994 pp. 649-653

doi:10.1109/CVPR.1994.323785 /cvpr/1994/fleck1994cvpr-practical/

Abstract

This paper presents a new algorithm for locating the boundaries of textured regions (both step changes and outliers) using a robust estimator. Previous robust image filters perform poorly on binary images, blur edges, round corners, and run slowly. The author avoids artifacts on binary images by modelling them as continuous and interpolating values. Information is combined directly between non-adjacent locations to prevent blurring. Corners are sharpened by relabelling mis-classified pixels. The algorithm is made as fast as a Marr-Hildreth edge finder by restructuring the estimator as a series of 2D image operations, using new multi-ring order statistic operators, and running most of the estimator on a randomly sampled image.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

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Cite

Text

Fleck. "Practical Edge Finding with a Robust Estimator." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994. doi:10.1109/CVPR.1994.323785

Markdown

[Fleck. "Practical Edge Finding with a Robust Estimator." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994.](https://mlanthology.org/cvpr/1994/fleck1994cvpr-practical/) doi:10.1109/CVPR.1994.323785

BibTeX

@inproceedings{fleck1994cvpr-practical,
  title     = {{Practical Edge Finding with a Robust Estimator}},
  author    = {Fleck, Margaret M.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1994},
  pages     = {649-653},
  doi       = {10.1109/CVPR.1994.323785},
  url       = {https://mlanthology.org/cvpr/1994/fleck1994cvpr-practical/}
}