Fusion of Edge Information in Markov Random Fields Region Growing Image Segmentation
نویسندگان
چکیده
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 boundary between them. Experimental results confirm the hypothesis that the integration of edge information increases the precision of the segmentation by ensuring the conservation of the objects contours during the region growing. Seminar Spring 2010 Sp ri n g 2 0 1 0 S ch o o l o f C o m p u te r Se m in ar S e ri e s W e b si te : h tt p :/ /o rc a. st .u sm .e d u /~ zh an g/ se m in ar .h tm
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