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://www.spidertattooz.com/OPI-GelColor-The-Color-That-Keeps-On-Giving-0-5-oz-HPJ07-p22791/