Image Distribution Estimation with Random Field and Random Cluster Theories

Random field and random cluster theory is used to prove certain mathematical results concerning the probability distribution of images characterized as generic $2D$ integer arrays during simultaneous learning. Example models in image classification and object segmentation illustrate the mathematical results.