A new stochastic image model based on Markov random fields and its application to texture modeling
A new stochastic image model based on Markov random fields and its application to texture modeling
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基于马尔可夫随机场的新型随机图像模型及其在纹理建模中的应用
DOI：
10.1109/icassp.2011.5946646
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
N. Kehtarnavaz
中科院分区：
文献类型：
--
作者：
S. Yousefi;N. Kehtarnavaz
文献中广泛讨论了基于传统马尔可夫随机场的随机图像建模。本文介绍了基于马尔可夫随机字段的新随机图像模型，该模型克服了传统模型的缺点，从而缓解了图像的关节密度函数的计算。作为应用程序，该模型用于生成纹理模式。与传统的Markov随机模型相比，模型的较低计算复杂性和易于控制的参数使其成为更有用的模型。
Stochastic image modeling based on conventional Markov random fields is extensively discussed in the literature. A new stochastic image model based on Markov random fields is introduced in this paper which overcomes the shortcomings of the conventional models easing the computation of the joint density function of images. As an application, this model is used to generate texture patterns. The lower computational complexity and easily controllable parameters of the model makes it a more useful model as compared to the conventional Markov random field-based models.
DOI：
10.1109/tpami.1984.4767596
发表时间：
1984-01-01
影响因子：
23.6
作者：
GEMAN, S;GEMAN, D
通讯作者：
GEMAN, D