2010 2nd International Conference on Advanced Computer Control 2010
DOI: 10.1109/icacc.2010.5486878
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Image segmentation based on an improved GA-MRF with dynamic weights

Abstract: The image segmentation based on Markov Random Field (MRF) tries to find the maximum a posterior (MAP) global optimal solution, which describes image data relations by local correlations. Comparing with the Simulated Annealing (SA) that is used in the canonical MRF, Genetic Algorithm (GA) has been applied into the optimization computation. Currently the weights of energy function and conditional probability are adjusted by generations' number, which converged so quick that the roles of conditional probability a… Show more

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