ML Anthology

Anatomy of a Color Histogram

Carol L. Novak, Steven A. Shafer
CVPR 1992 pp. 599-605
doi:10.1109/CVPR.1992.223129 /cvpr/1992/novak1992cvpr-anatomy/

Abstract

It is shown that the color histogram has an even closer relationship to scene properties than has been previously described. Color histograms have identifiable features that relate in a precise mathematical way to scene properties. Object color and illumination color are the most obvious properties that are related to color distribution, and their extraction has already been described. It is shown here that the histogram of color variation may be further exploited to relate its shape to surface roughness and imaging geometry. An understanding of these features allows an improved estimate of illumination color and object color to be made.< <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

Novak and Shafer. "Anatomy of a Color Histogram." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223129

Markdown

[Novak and Shafer. "Anatomy of a Color Histogram." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/novak1992cvpr-anatomy/) doi:10.1109/CVPR.1992.223129

BibTeX

@inproceedings{novak1992cvpr-anatomy,
  title     = {{Anatomy of a Color Histogram}},
  author    = {Novak, Carol L. and Shafer, Steven A.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {599-605},
  doi       = {10.1109/CVPR.1992.223129},
  url       = {https://mlanthology.org/cvpr/1992/novak1992cvpr-anatomy/}
}