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Supervised Color Image Segmentation in a Markovian Framework

9 years 6 months ago
Supervised Color Image Segmentation in a Markovian Framework
This is the sample implementation of a Markov random field based color image segmentation algorithm described in the following paper: Zoltan Kato, Ting Chuen Pong, and John Chung Mong Lee. Color Image Segmentation and Parameter Estimation in a Markovian Framework. Pattern Recognition Letters, 22(3-4):309--321, March 2001. Note that the current demo program implements only a supervised version of the segmentation method described in the paper (i.e. parameter values are learned interactively from representative regions selected by the user).
Mihaly Gara, Zoltan Kato
Added 12 May 2010
Updated 12 May 2010
Authors Mihaly Gara, Zoltan Kato
OS All OS
Language C++
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