Anton Netchaev

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This paper proposes an algorithm that preserves objects in Markov Random Fields (MRF) region growing based image segmentation. This is achieved by modifying the MRF energy minimization process so that it would penalize merging regions that have real edges in the boundary between them. Experimental results show that the integration of edge information(More)
We are investigating the fusion of edge information into Markov Random Fields (MRF) region growing based image segmentation. Our goal is to segment the image in a way that would take edge information into consideration. This is achieved by modifying the energy minimization process so that it would penalize merging regions that have real edges in the(More)
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