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1·This paper proposes a hierarchical random field model for segmentation of images.

本文提出了一种用于图像分割的分层随机场模型。

2·Markov random field method is a very active research field in image segmentation.

马尔可夫随机场方法是图像分割中一个极为活跃的研究方向。

3·Based on Markov random field, an improved GA image restoration method is presented.

本文基于马尔可夫随机场，提出了改进的遗传图象恢复方法。

4·A method of vane defects detecting based on Markov random field is presented in this paper.

提出了一种基于马尔科夫随机场模型的缺陷检测方法。

5·Markov Random Field is extension of Markov Processing at the two-dimensional parameters set.

马尔科夫随机场是马尔科夫随机过程在二维参数中的推广。

6·This paper deals with markov random field and it's application in image texture classification.

针对马尔可夫随机场方法用于影像纹理分类进行了探讨。

7·The structural basic design variables are discretized according to the local average random field theory.

结构的基本设计变量按局部平均随机场理论离散。

8·A random field target detection technology for infrared focal plane array (FPA) imaging is also proposed.

对焦平面纤外图像提出了一种概率场目标检测技术。

9·The theory of random field plays an important role in reliability analysis of ocean structure foundations.

阐述了随机场理论在进行海洋结构物地基可靠度分析中的作用。

10·This paper proposes a Markov random field(MRF) model-based approach to natural image matting with complex scenes.

为了取得更好的抠图效果，提出了一种基于马尔可夫随机场的自然图像抠图方法。