MRF模型在图像分割领域的发展
首发时间:2008-04-23
摘要:基于MRF的图像分割方法的研究源自概率统计原理,本文介绍了MRF模型在图像分割领域的发展历史及其一般理论与图像分割准则,评述了其在图像分割中的各种代表性模型,并讨论了标号数的确定与图像模型的参数估计等问题,展望了其研究发展的方向。
关键词: 马尔科夫随机场 图像分割 吉布斯分布 贝叶斯公式 参数估计
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The development of MRF Model for Image Segmentation
Abstract:The study of image segmentation methods based on MRF is originated from the theories of probabilities & statistics. In this paper, the history of MRF model in image segmentation and some general theories and principles of image segmentation are introduced. In addition, several kinds of representative models based on MRF are reviewed. Furthermore, calculation of the number of labels and parameter estimation of image models are discussed. In the end, it forecasts MRF model’s future research directions.
Keywords: markov random field image segmentation gibbs distributing bayesian formula parameter estimation
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