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 publicationAdvances in Visual Computing - 10th International Symposium, ISVC 2014, Proceedings
EditorsRichard Boyle, Darko Koracin, Kambhamettu Chandra, El Choubassi Maha, Zhigang Deng, George Bebis, Mark Carlson, Bahram Parvin, Ryan McMahan, Hui Zhang, Steven M. Drucker, Jason Jerald
PublisherSpringer Verlag
Pages220-229
Number of pages10
ISBN (Electronic)9783319143637
StatePublished - Jan 1 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)0302-9743
ISSN (Electronic)1611-3349

Other

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

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Borkar, T. S., & Karam, L. (2014). Automated bird plumage coloration quantification in digital images. In R. Boyle, D. Koracin, K. Chandra, E. C. Maha, Z. Deng, G. Bebis, M. Carlson, B. Parvin, R. McMahan, H. Zhang, S. M. Drucker, & J. Jerald (Eds.), Advances in Visual Computing - 10th International Symposium, ISVC 2014, Proceedings (pp. 220-229). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8888). Springer Verlag.