DocumentCode :
595516
Title :
Illuminant segmentation in non-uniformly lit scenes
Author :
Cong Phuoc Huynh ; Robles-Kelly, Antonio
Author_Institution :
Nat. ICT Australia, Canberra, ACT, Australia
fYear :
2012
fDate :
11-15 Nov. 2012
Firstpage :
3664
Lastpage :
3667
Abstract :
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.
Keywords :
image colour analysis; image segmentation; lighting; maximum entropy methods; natural scenes; optimisation; pattern clustering; cost function; deterministic annealing approach; dichromatic planes; illuminant colour; illuminant segmentation; image location; image pixels; image radiance space dichromatic structure; maximum entropy principle; nonuniformly lit scenes; soft-clustering problem; Computer vision; Cost function; Image color analysis; Image segmentation; Light sources; Lighting; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
ISSN :
1051-4651
Print_ISBN :
978-1-4673-2216-4
Type :
conf
Filename :
6460959
Link To Document :
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