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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics

| EXPLORING THE INTERFACE OF LIGHT AND BIOMEDICINE

  • Editors: Andrew Dunn and Anthony Durkin
  • Vol. 8, Iss. 4 — May. 22, 2013

Saliency detection using regional histograms

Zhi Liu, Olivier Le Meur, Shuhua Luo, and Liquan Shen  »View Author Affiliations


Optics Letters, Vol. 38, Issue 5, pp. 700-702 (2013)
http://dx.doi.org/10.1364/OL.38.000700


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Abstract

We propose an efficient regional histogram (RH)-based computation model for saliency detection in natural images. First, the global histogram is constructed by performing an adaptive color quantization on the original image. Then multiple RHs are built on the basis of the region segmentation result, and the color–spatial similarity between each pixel and each RH is calculated accordingly. Two efficient measures, distinctiveness and compactness of each RH, are evaluated based on the color difference with the global histogram and the color distribution over the whole image, respectively. Finally, the pixel-level saliency map is generated by integrating the color–spatial similarity measures with the distinctiveness and compactness measures. Experimental results on a dataset containing 1000 test images with ground truths demonstrate that the proposed saliency model consistently outperforms state-of-the-art saliency models.

© 2013 Optical Society of America

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.2960) Image processing : Image analysis
(330.4060) Vision, color, and visual optics : Vision modeling

ToC Category:
Image Processing

History
Original Manuscript: December 18, 2012
Manuscript Accepted: January 24, 2013
Published: February 25, 2013

Virtual Issues
Vol. 8, Iss. 4 Virtual Journal for Biomedical Optics

Citation
Zhi Liu, Olivier Le Meur, Shuhua Luo, and Liquan Shen, "Saliency detection using regional histograms," Opt. Lett. 38, 700-702 (2013)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=ol-38-5-700


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