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.
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。
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。
This paper introduced a MRF (Markov Random Field) -based method of integrating color and spatial edge information to address the problem of lip feature extraction.
讨论了基于马尔可夫随机场(MRF)模型的融合颜色和边缘信息的嘴唇特征提取方法。
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