JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2016, Vol. 51 ›› Issue (1): 101-105.doi: 10.6040/j.issn.1671-9352.0.2015.357

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Color constancy using hierarchy segments

WANG Lei1, XIE Jiang-ning2   

  1. 1. School of Computer Engineering, Weifang University, Weifang 261061, Shandong, China;
    2. School of Computer Science and Technology, Shandong University, Jinan 250101, Shandong, China
  • Received:2015-07-21 Online:2016-01-16 Published:2016-11-29

Abstract: Color constancy is the ability to measure colors of objects independent of the color of the light source. A well-known color constancy method is based on the gray-world assumption which assumes that the average reflectance of surfaces in the world is achromatic. In this paper, instead of applying gray world method on the entire image, the images was segment into a lot of segments using a hierarchical segmentation method, and the simple gray world approach was applied on each segments. Then, estimated results from different segments were clustered together to get a final result. Experiment results show that the proposed algorithm outperforms the original gray world method. The mean error is reduced to 36.0% with respect to the original gray world method and the median error is reduced to 63.5%. Our method outperforms state-of-the-art color constancy algorithms and produces comparable results with the best published scores on the same dataset.

Key words: hierarchy segments, Bayes, color constancy, image segments

CLC Number: 

  • TP391
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