MARKOV RANDOM FIELD METHODOLOGY IN COMPUTER VISION
计算机视觉中的Markov随机场方法

Markov random field methodology is a new noticeable research field in computer vision. In this paper, a general analysis framework and relative references of MRF model-based methodology are presented, the approaches for image segmentation and restoration are reviewed, and a few possible trends are discussed as well.