01168nas a2200121   4500008004100000245006500041210006500106260001200171520076400183100001800947700001700965856006400982       2009                        eng d00aSupervised Color Image Segmentation in a Markovian Framework0 aSupervised Color Image Segmentation in a Markovian Framework  c2009///3 a<p>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 above paper (i.e. parameter values are learned interactively from representative regions selected by the user). Otherwise, the program implements exactly the color MRF model proposed in the paper. Images are automatically converted from RGB to the perceptually uniform CIE-L*u*v* color space before segmentation.</p>1 aGara, Mihály1 aKato, Zoltan  uhttp://www.inf.u-szeged.hu/~kato/software/colormrfdemo.html