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     Research Journal of Applied Sciences, Engineering and Technology


Color Constancy using Effective Candidate Images

1Honge Ren, 1Jieyun Bai and 2Yan Ma
1Institute of Information and Computer Engineering
2Forestry and Woodworking Mechanical Engineering Technology Center, Northeast Forestry University, Harbin 150040, China
Research Journal of Applied Sciences, Engineering and Technology  2013  16:4133-4137
http://dx.doi.org/10.19026/rjaset.5.4638  |  © The Author(s) 2013
Received: July 27, 2012  |  Accepted: September 17, 2012  |  Published: April 30, 2013

Abstract

In this study, we propose a novel method for color constancy based on image similarity. Discuss how to improve illumination estimation techniques and take extracted effective information from the regions of the images into account. Design a strategy to select effective candidate images from image classes which present different content and are usually taken under different illumination conditions. The method has been tested on a suitable and widely used dataset. Experimental results clearly demonstrate that the proposed method is more effective than the former statistics algorithms base on local spaces.

Keywords:

Color constancy, effective candidate images effective regions, image similarity,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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