Automated bird plumage coloration quantification in digital images

Tejas S. Borkar, Lina Karam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Quantitative measurements of bird plumage color and patch size provide valuable insights into the impact of environmental conditions on the habitat and breeding of birds. This paper presents a novel perceptual-based framework for the automated extraction and quantification of bird plumage coloration from digital images with slowly varying background colors. The image is first coarsely segmented into a few classes using the dominant colors of the image in a perceptually uniform color space. The required foreground class is then identified by eliminating the dominant background color based on the color histogram of the image. The determined foreground is segmented further using a Bayesian classifier and an edge-enhanced model-based classification for eliminating regions of human skin and is refined by using a perceptual-based Saturation-Brightness quantization to only preserve the perceptually relevant colors. Results are presented to illustrate the performance of the proposed method.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages220-229
Number of pages10
Volume8888
ISBN (Print)9783319143637
StatePublished - 2014
Event10th International Symposium on Visual Computing, ISVC 2014 - Las Vegas, United States
Duration: Dec 8 2014Dec 10 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8888
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other10th International Symposium on Visual Computing, ISVC 2014
CountryUnited States
CityLas Vegas
Period12/8/1412/10/14

Fingerprint

Birds
Digital Image
Quantification
Color
Color Histogram
Bayesian Classifier
Uniform Space
Color Space
Brightness
Skin
Patch
Saturation
Quantization
Model-based
Luminance
Classifiers
Class
Background

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Borkar, T. S., & Karam, L. (2014). Automated bird plumage coloration quantification in digital images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8888, pp. 220-229). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8888). Springer Verlag.

Automated bird plumage coloration quantification in digital images. / Borkar, Tejas S.; Karam, Lina.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8888 Springer Verlag, 2014. p. 220-229 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8888).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Borkar, TS & Karam, L 2014, Automated bird plumage coloration quantification in digital images. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 8888, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8888, Springer Verlag, pp. 220-229, 10th International Symposium on Visual Computing, ISVC 2014, Las Vegas, United States, 12/8/14.
Borkar TS, Karam L. Automated bird plumage coloration quantification in digital images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8888. Springer Verlag. 2014. p. 220-229. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Borkar, Tejas S. ; Karam, Lina. / Automated bird plumage coloration quantification in digital images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8888 Springer Verlag, 2014. pp. 220-229 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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