Color image segmentation using markov random field models

Dey, Rahul (2007) Color image segmentation using markov random field models. MTech thesis.



In this thesis, the problem of color image segmentation is address in stochastic framework. The problem is formulated as pixel labelling problem. The pixel labels are estimated using maximum a Posteriori (MAP) criterion. The observed image is viewed as the degraded version of the true labels. The degradation process is assumed to be Gaussian process. The image labels are modeled as Markov Random Field (MRF) model and the Ohta (I1,I2,I3) model is used as the color model.

Item Type:Thesis (MTech)
Uncontrolled Keywords:Markov random field models, MAP, MRF, SA, RGB
Subjects:Engineering and Technology > Electrical Engineering
Divisions: Engineering and Technology > Department of Electrical Engineering
ID Code:4390
Deposited By:Hemanta Biswal
Deposited On:13 Jul 2012 11:10
Last Modified:18 Jul 2012 17:02
Supervisor(s):Nanda, P K

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