unsupervised segmentation of sar image sar图像无监督分割
Unsupervised Texture Image Segmentation 无监督纹理图像分割
This paper proposes a new neural network model UMAN to perform unsupervised image segmentation.
本文提出了一种新的神经网络模型UMAN，以实现非监督的图象分割。
This paper presents a novel unsupervised image segmentation algorithm based on hidden Markov random field(HMRF) model.
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。
Furthermore, in order to solve the model selection problems of unsupervised image segmentation, the sum of squared error criterion with penalty term is proposed.
而且，针对无监督图像分割的模型选择问题提出了带惩罚项的误差平方和阶次判定准则。
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