基于最小描述长度原理的复合高斯-马尔可夫随机场自适应边缘检测

Proceedings of 1994 Workshop on Information Theory and Statistics Pub Date : 1994-10-27 DOI:10.1109/WITS.1994.513891

M. Figueiredo, J. Leitão

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摘要

将复合高斯-马尔可夫随机场(CGMRF)中的边缘定位问题表述为一个参数估计问题。由于参数数量未知，提出了一种基于CGMRF模型的最小描述长度(MDL)准则。

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Adaptive edge detection in compound Gauss-Markov random fields using the minimum description length principle

Edge location in compound Gauss-Markov random fields (CGMRF) is formulated as a parameter estimation problem. Since the number of parameters is unknown, a minimum-description-length (MDL) criterion is proposed for image restoration based on the CGMRF model.

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Proceedings of 1994 Workshop on Information Theory and Statistics

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