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Model based adaptive multi-elliptical approach: a one click 3D segmentation approach

机译:基于模型的自适应多椭圆方法:一键式3D分割方法

摘要

A seed point is selected inside a structure that is to be segmented in image data. An adaptive model is defined around the seed point, and a preprocessing filter is applied only within the bounding region. A presegmentation of the preprocessed result is performed, and the bounding region is expanded if necessary to accommodate the presegmentation result. An adaptive model for post-processing may be used. The model is translated, rotated and scaled to find a best fit with the pre-segmented data. Additional models can be grown based on testing performed on points on a perimeter of previous models to improve the segmentation of an object.
机译:在要在图像数据中分割的结构内选择一个种子点。在种子点周围定义一个自适应模型,并且仅在边界区域内应用预处理滤波器。进行预处理结果的预分段,并在必要时扩展边界区域以容纳预分段结果。可以使用用于后处理的自适应模型。对模型进行平移,旋转和缩放,以找到与预分段数据最匹配的模型。可以基于对先前模型的周长上的点执行的测试来扩展其他模型,以改善对象的分割。

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