TY - GEN
T1 - Illuminant segmentation in non-uniformly lit scenes
AU - Huynh, Cong Phuoc
AU - Robles-Kelly, Antonio
PY - 2012
Y1 - 2012
N2 - In this paper, we present a method for segmenting illuminants in non-uniformly lit scenes. Here, we view the illuminant colour at an image location as a mixture of the segmented illuminants. Based on the dichromatic structure of the image radiance space, we perform soft-clustering on the set of dichromatic planes corresponding to the neighbourhoods of pixel-sites in the image. We solve the soft-clustering problem with a deterministic annealing approach where the cost function is formulated based on the maximum entropy principle. We show results on real-world imagery and provide comparisons to an alternative method.
AB - In this paper, we present a method for segmenting illuminants in non-uniformly lit scenes. Here, we view the illuminant colour at an image location as a mixture of the segmented illuminants. Based on the dichromatic structure of the image radiance space, we perform soft-clustering on the set of dichromatic planes corresponding to the neighbourhoods of pixel-sites in the image. We solve the soft-clustering problem with a deterministic annealing approach where the cost function is formulated based on the maximum entropy principle. We show results on real-world imagery and provide comparisons to an alternative method.
UR - http://www.scopus.com/inward/record.url?scp=84874567881&partnerID=8YFLogxK
M3 - Conference contribution
SN - 9784990644109
T3 - Proceedings - International Conference on Pattern Recognition
SP - 3664
EP - 3667
BT - ICPR 2012 - 21st International Conference on Pattern Recognition
T2 - 21st International Conference on Pattern Recognition, ICPR 2012
Y2 - 11 November 2012 through 15 November 2012
ER -