图像分割使用简单的马尔可夫场模型

Computer Graphics and Image Processing Pub Date : 1982-10-01 DOI:10.1016/0146-664X(82)90040-5

F.R Hansen, H Elliott

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引用次数: 0

摘要

通过将图像建模为两态马尔可夫场，MAP估计技术用于开发次优但计算上易于处理的二值分割算法。该算法在低信噪比下表现良好，并开发了用于估计马尔可夫场转移概率的分析程序。此外，还讨论了该方法在多光谱和多区域情况下的推广。

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Image segmentation using simple Markov field models

By modelling a picture as a two-state Markov field, MAP estimation techniques are used to develop suboptimal but computationally tractable binary segmentation algorithms. The algorithms are shown to perform well at low signal-to-noise ratios, and analytical procedures are developed for estimating the Markov field transition probabilities. In addition, extensions of this approach to the multispectral and multiregion cases are discussed.

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Computer Graphics and Image Processing

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