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A novel image segmentation algorithm based on a Bayesian framework is studied in this paper. We presents a new region and statistics based approach, which combines Voronoi tessellation technique and Maximum a posterior / Maximization of the posterior marginal (MAP /MPM) algorithm. The image domain is partitioned into a group of sub-regions by Voronoi tessellation, each of which is a component of homogeneous...
A novel video motion object automatic segmentation algorithm based on Gaussian Markov random field is studied in this paper. In this algorithm, the probability density functions of the different images are estimated as Gaussian mixture distributions, moving object detection algorithm based on integrating maximizer of the posterior marginals with MAP. Firstly, initial segmentation is applied to obtain...
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