Abstract
This paper presents a new method for color constancy under mixed illuminants using image segmentation and Fuzzy C-means. Image segmentation is used to divide the image under mixed illuminations into many patches using grid-based or segmentation-based method. The patch illumination can be estimated using uniform illumination estimation method. All patch-based illuminant estimations are clustered into a few parts using Fuzzy C-means. The weighted sum of cluster center and degree of membership is back projected to the patch to get the pixel illuminant estimation. Experiments show that the proposed method outperforms existing algorithms similar to ours with angular error reduction by 20% for images under mixed illuminant images. The angular error can be decreased by 10% compared with other methods based on low-level features for uniform illuminant images.
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Zhao, X., Yu, J. (2012). Color Constancy under Mixed Illuminants Using Image Segmentation and Fuzzy C-Means. In: Liu, CL., Zhang, C., Wang, L. (eds) Pattern Recognition. CCPR 2012. Communications in Computer and Information Science, vol 321. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33506-8_53
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DOI: https://doi.org/10.1007/978-3-642-33506-8_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33505-1
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