摘要
Markov随机场方法是计算机视觉中一个引人注目的新研究方向。该文论述了基于Markov随机场模型的分析框架和有关文献,评述了用于图像分割和复原的分析方法,探讨了它的发展动向。
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.
