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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. 2 — Mar. 4, 2013

Aggregation functions to combine RGB color channels in stereo matching

Mikel Galar, Aranzazu Jurio, Carlos Lopez-Molina, Daniel Paternain, Jose Sanz, and Humberto Bustince  »View Author Affiliations


Optics Express, Vol. 21, Issue 1, pp. 1247-1257 (2013)
http://dx.doi.org/10.1364/OE.21.001247


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Abstract

In this paper we present a comparison study between different aggregation functions for the combination of RGB color channels in stereo matching problem. We introduce color information from images to the stereo matching algorithm by aggregating the similarities of the RGB channels which are calculated independently. We compare the accuracy of different stereo matching algorithms and aggregation functions. We show experimentally that the best function depends on the stereo matching algorithm considered, but the dual of the geometric mean excels as the most robust aggregation.

© 2013 OSA

OCIS Codes
(100.0100) Image processing : Image processing
(150.0150) Machine vision : Machine vision
(330.0330) Vision, color, and visual optics : Vision, color, and visual optics

ToC Category:
Image Processing

History
Original Manuscript: September 18, 2012
Revised Manuscript: December 17, 2012
Manuscript Accepted: January 1, 2013
Published: January 11, 2013

Virtual Issues
Vol. 8, Iss. 2 Virtual Journal for Biomedical Optics

Citation
Mikel Galar, Aranzazu Jurio, Carlos Lopez-Molina, Daniel Paternain, Jose Sanz, and Humberto Bustince, "Aggregation functions to combine RGB color channels in stereo matching," Opt. Express 21, 1247-1257 (2013)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=oe-21-1-1247


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