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This paper presents an MAP-MRF (i.e. maximum a posteriori — Markov random field) based image segmentation method to achieve stable performance without knowing the true segment number in advance. Specifically, we firstly assign the segment number a value greater than or equal to the ground truth. Subsequently, cluster centroid of each segment in observation space is initialized randomly so that each...
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