一类形态约束Gibbs随机场的MAP估计

K. Sivakumar, J. Goutsias
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引用次数: 1

摘要

我们用最大后验估计和数学形态学的方法重新讨论了非线性图像滤波问题。基于“温和”的建模假设,我们从上面和下面对最优MAP估计进行了限制,并为这些限制提供了明确的形态学表达式。推导出的边界易于计算,并可有效地用于设计快速MAP算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MAP estimation of a class of morphologically constrained Gibbs random fields
We revisit the problem of non-linear image filtering by means of maximum-a-posteriori (MAP) estimation and mathematical morphology. Based on "mild" modeling assumptions, we bound the optimal MAP estimate from above and below and provide explicit morphological expressions for such bounds. The derived bounds can be easily calculated and effectively used to design a fast MAP algorithm.
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