The use of Markov random fields (MRFs) is a common approach for performing image segmentation. where the problem is modeled using MRFs that incorporate priors on neighborhood nodes to allow for efficient Maximum a Posteriori inference. These local MRF models often result in smoothed segmentation boundaries. since they penalize the assignment of different labels to neighboring pixels a... https://parisnaturalfoodes.shop/product-category/vit-e-moist-creme/