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Global Segmentation of Textural Images on the Basis of Hierarchical Clusterization by Predetermined Cluster Separability

机译:基于层次聚类的预定聚类可分离性对纹理图像进行全局分割

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摘要

Automatic clusterization and follow segmentation of aerial pictures images by textural features is are considered. A divisible histogram hierarchical algorithm with search of clusters with preset separability is used. The peculiarity of segmentation by statistical textural features are taken into account. The parameters of the model for SAR imaging are used as textural features for automatic uncontrolled classification of forest landscapes in aerial images.
机译:考虑通过纹理特征对航空图像进行自动聚类和后续分割。使用可分割的直方图分层算法,该算法可搜索具有预设可分离性的聚类。考虑到统计纹理特征分割的特殊性。 SAR成像模型的参数用作纹理特征,用于航空影像中森林景观的自动不受控制的分类。

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