文中通过利用马尔可夫随机场模型，引入图像象素的局部结构信息，有效实现了SAR目标切片图像的高精度分割。
Utilizing MRF (Markov Random Field) model to introduce the pixel's local context information, a quite accurate segmentation of SAR target chip image is realized.
研究了基于隐马尔可夫随机场（HMRF）模型的无监督图像分割问题。
This paper presents a novel unsupervised image segmentation algorithm based on hidden Markov random field(HMRF) model.
本文提出了一种用于图像分割的分层随机场模型。
This paper proposes a hierarchical random field model for segmentation of images.
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