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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics


  • Editor: Gregory W. Faris
  • Vol. 5, Iss. 6 — Apr. 8, 2010

Saliency of color image derivatives: a comparison between computational models and human perception

Eduard Vazquez, Theo Gevers, Marcel Lucassen, Joost van de Weijer, and Ramon Baldrich  »View Author Affiliations

JOSA A, Vol. 27, Issue 3, pp. 613-621 (2010)

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In this paper, computational methods are proposed to compute color edge saliency based on the information content of color edges. The computational methods are evaluated on bottom-up saliency in a psychophysical experiment, and on a more complex task of salient object detection in real-world images. The psychophysical experiment demonstrates the relevance of using information theory as a saliency processing model and that the proposed methods are significantly better in predicting color saliency (with a human-method correspondence up to 74.75% and an observer agreement of 86.8%) than state-of-the-art models. Furthermore, results from salient object detection confirm that an early fusion of color and contrast provide accurate performance to compute visual saliency with a hit rate up to 95.2%.

© 2010 Optical Society of America

OCIS Codes
(110.2960) Imaging systems : Image analysis
(330.1720) Vision, color, and visual optics : Color vision
(330.1880) Vision, color, and visual optics : Detection
(330.5510) Vision, color, and visual optics : Psychophysics
(150.1135) Machine vision : Algorithms

ToC Category:
Vision, Color, and Visual Optics

Original Manuscript: June 19, 2009
Revised Manuscript: December 22, 2009
Manuscript Accepted: December 25, 2009
Published: February 26, 2010

Virtual Issues
Vol. 5, Iss. 6 Virtual Journal for Biomedical Optics

Eduard Vazquez, Theo Gevers, Marcel Lucassen, Joost van de Weijer, and Ramon Baldrich, "Saliency of color image derivatives: a comparison between computational models and human perception," J. Opt. Soc. Am. A 27, 613-621 (2010)

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