Automated bird plumage coloration quantification in digital images

Tejas S. Borkar, Lina Karam

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


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
EditorsGeorge Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Ryan McMahan, Jason Jerald, Hui Zhang, Steven M. Drucker, Kambhamettu Chandra, El Choubassi Maha, Zhigang Deng, Mark Carlson
PublisherSpringer Verlag
Number of pages10
ISBN (Electronic)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)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other10th International Symposium on Visual Computing, ISVC 2014
Country/TerritoryUnited States
CityLas Vegas

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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