Supervised Color Image Segmentation in a Markovian Framework

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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

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Color | Markov Random Fields (MRF) | Segmentation | Texture |

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Added	12 May 2010
Updated	12 May 2010
Authors	Mihaly Gara, Zoltan Kato
OS	All OS
Language	C++

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Supervised Color Image Segmentation in a Markovian Framework

Color | Markov Random Fields (MRF) | Segmentation | Texture |

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