By Topic

Color Constancy using Image Regions

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Gijsenij, A. ; Amsterdam Univ., Amsterdam ; Gevers, T.

Color constancy is important for various applications such as image segmentation, object recognition and image retrieval where object color features are extracted invariant to the illumination conditions. Different color constancy methods have been proposed. These methods, in general, compute color constancy based on all image colors. However, not all pixels contain relevant information for color constancy. Eventually, biased pixel values may decrease the performance of color constancy methods. To this end, in this paper, we propose a method based on low-level image features using subsets of pixels. Hence, instead of using the entire pixel set for estimating the illuminant, only relevant pixels in the image are used. Therefore, prior segmentation is performed to learn for different image categories (e.g. open country, street, indoor) which pixel set (i.e. image parts) is most appropriate for a reliable estimation. Based on large scale experiments on real-world scenes, it can be derived that for certain categories, like open country and street, the estimation is far more accurate using image parts than when using the entire image.

Published in:

Image Processing, 2007. ICIP 2007. IEEE International Conference on  (Volume:3 )

Date of Conference:

Sept. 16 2007-Oct. 19 2007