Preserving objects in Markov Random Fields region growing image segmentation |
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Authors: | Amer Dawoud Anton Netchaev |
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Affiliation: | (1) School of Computing, University of Southern Mississippi, 118 College Drive, Box#5106, Hattiesburg, MS 39406, USA |
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Abstract: | 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 increases the precision
of the segmentation by ensuring the conservation of the objects contours during the region-growing process. |
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Keywords: | |
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