A Short Note on Local Region Growing by Pseudophysical Simulation

Brand, Matthew

doi:10.1109/CVPR.1993.341173

A Short Note on Local Region Growing by Pseudophysical Simulation

Matthew Brand

CVPR 1993 pp. 782-783

doi:10.1109/CVPR.1993.341173 /cvpr/1993/brand1993cvpr-short/

Abstract

A class of region growing algorithms based on an analogy to a mass suspended in a field of forces is presented. The mass represents the growing region, and the field represents the degree of concordance between local pixel values and the color characteristics of the region. The algorithms are particularly well suited to systems that are looking for specific simply-connected shapes in local areas of interest, for example, a rectangle of unknown size, elongation, or orientation. Comparing pseudophysical region growing with Hough transforms, it is shown that region growing has competitive space and time complexity, and that it does not require image preprocessing for boundaries.< <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

Brand. "A Short Note on Local Region Growing by Pseudophysical Simulation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.341173

Markdown

[Brand. "A Short Note on Local Region Growing by Pseudophysical Simulation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/brand1993cvpr-short/) doi:10.1109/CVPR.1993.341173

BibTeX

@inproceedings{brand1993cvpr-short,
  title     = {{A Short Note on Local Region Growing by Pseudophysical Simulation}},
  author    = {Brand, Matthew},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1993},
  pages     = {782-783},
  doi       = {10.1109/CVPR.1993.341173},
  url       = {https://mlanthology.org/cvpr/1993/brand1993cvpr-short/}
}