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image segmentation by assigning classes to adaptivenmesh - primitive

机译:通过将类分配给自适应纳米网格图像进行图像分割

摘要

Quantification of metric or functional parameters often requires image segmentation. A crucial part of such method is the model of the surface characteristics of the object of interest (features), which drives the deformable surface towards the object boundary in the image. According to the present invention, sections of the mesh are assigned to different classes for different features. According to the present invention, the assignment of mesh sections to the classes is adapted by using actual feature information from the unseen image. Advantageously, this allows for an adaptation of the feature category to which the mesh section is assigned and thereby allows an improved segmentation of the object.
机译:度量或功能参数的量化通常需要图像分割。这种方法的关键部分是感兴趣对象(特征)的表面特征模型,该模型将可变形表面推向图像中的对象边界。根据本发明,将网格的各部分分配给用于不同特征的不同类别。根据本发明,通过使用来自看不见的图像的实际特征信息来适配将网格部分分配给类别。有利地,这允许对分配了网状截面的特征类别进行适配,从而可以改善对象的分割。

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