FAST UNSUPERVISED BAYESIAN IMAGE SEGMENTATION WITH ADAPTIVE SPATIAL REGULARIZATION: A REVIEW PAPER
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Abstract
Image segmentation is a process of dividing the image in to some distinct regions. These region shave specially coherent in nature and have similar attributes. This technique is widely used for image analyses and to interpret the desired feature. In this present paper we will study about the hidden Markov random fields and find its expectation maximization algorithm.
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