Concrete CT Image Segmentation method based on Markov Random Field

摘要: The article based on Markov Random Field (MRF) image segmentation model and beyes theory, the issue is transformed to Maximum A Posteriori (MAP).The forecast of parameter arithmetic provide. proposed a modified version metropolis dynamics#MMD#simulated annealing arithmetic. Experimental results are compared those obtained by Metropolis algorithm, Gibbs sampler ICM (Iterated Conditional Mode). efficiency precision more improve. Using MMD Concrete CT Image Segmentation can reflect interior spatial distribution concrete materials deformation, afford an effective method meso-structure study Architecture projection.