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In the pixel based multiscale Markov random field(MRF) model, a sequence of MRF was hierarchically defined on the multiple spatial resolutions which might suffer from the deficiency of modeling the large range of interaction. In order to overcome such a problem, we attempt to introduce the region based multiscale MRF model, in which hierarchical MRF model is defined over multiresolution image segmented...
In this paper, we propose a region-based MRF model with optimized initial regions (RMRF-OIR) for image segmentation. In the RMRF-OIR, a modified mean shift is introduced to get the optimized initial over segmented regions. Then, a region-based MRF is used to model these initial regions on the region adjacency graph. Finally, the segmentation results will be obtained by using a region merging scheme...
In this paper, a multiple granularities self-modified method based on MRF (MGSM-MRF) is proposed for image segmentation. Current segmentation methods are usually focused on a single pixel-based granularity of an image. But the multiple granularities property of an image is limited to the methods using a single granularity. The proposed MGSM-MRF considers the multiple granularities property for image...
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