In order to overcome the weakness of statistical texture segmentation method, a new unsupervised texture segment algorithm, based on multi-resolution statistical model, was present.
针对基于统计的纹理分割算法存在的不足，提出了一种新的多分辨模型下的无监督统计纹理分割算法。
Triplet Markov random fields (TMF) model is suitable for dealing with multi-class segmentation of non-stationary, non-Gaussian SAR images.
三重马尔科夫随机场(TMF)模型非常适合处理非平稳、非高斯图像的分割问题。
The road initial profile is gotten by marked watershed segmentation in quaternion space with multi-spectral images which solve the question of how to set the initial border in the model.
通过多光谱图像四元数空间标记分水岭分割，获取道路初始轮廓，解决道路初始边界设置问题；
The road initial profile is gotten by marked watershed segmentation in quaternion space with multi-spectral images which solve the question of how to set the initial border in the model.
通过多光谱图像四元数空间标记分水岭分割，获取道路初始轮廓，解决道路初始边界设置问题；
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