ML Anthology

Controlling Illumination Color to Enhance Object Discriminability

Mark Vriesenga, Glenn Healey, Kalman Peleg, Jack Sklansky
CVPR 1992 pp. 710-712
doi:10.1109/CVPR.1992.223194 /cvpr/1992/vriesenga1992cvpr-controlling/

Abstract

The authors describe how to design color illumination to improve the discriminability of objects in color images. This procedure is useful in applications where the illumination can be controlled, such as inspection tasks. From the physics of color image formation, the optimal color illumination for discriminating materials is derived using a parametrically defined set of illuminants. The authors suggest how such an approach might be extended to sets of materials and more general classes of light sources. Experiments with painted color patches and live potato plantlets are used to illustrate the usefulness of actively controlling illumination color in machine vision.< <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

Vriesenga et al. "Controlling Illumination Color to Enhance Object Discriminability." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223194

Markdown

[Vriesenga et al. "Controlling Illumination Color to Enhance Object Discriminability." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/vriesenga1992cvpr-controlling/) doi:10.1109/CVPR.1992.223194

BibTeX

@inproceedings{vriesenga1992cvpr-controlling,
  title     = {{Controlling Illumination Color to Enhance Object Discriminability}},
  author    = {Vriesenga, Mark and Healey, Glenn and Peleg, Kalman and Sklansky, Jack},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {710-712},
  doi       = {10.1109/CVPR.1992.223194},
  url       = {https://mlanthology.org/cvpr/1992/vriesenga1992cvpr-controlling/}
}