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Method for discrimination and identification of objects of a scene by 3-D imaging

机译:通过3D成像识别和识别场景对象的方法

摘要

A method for discriminating and identifying, by 3D imaging, an object in a complex scene comprises the following steps: generating a sequence of 2D MIP images of the object, from a 3D voxel volume of the complex scene, this volume visualized by an operator by using an iterative process of MIP type from a projection plane and an intensity threshold determined by the operator on each iteration, automatically extracting, from the sequence of images, coordinates of a reduced volume corresponding to the sequence of images, choosing one of the intensity thresholds used during the iterations, automatically extracting, from the 3D volume of the complex scene, from the coordinates and chosen intensity threshold, a reduced 3D volume containing the object, automatically generating, from the reduced volume, by intensity threshold optimization, an optimized intensity threshold and an optimized voxel volume, a color being associated with each intensity, identifying the object by visualization.
机译:一种用于通过3D成像来识别和识别复杂场景中的对象的方法,包括以下步骤:从复杂场景的3D体素体中生成该对象的2D MIP图像序列,操作者可以通过可视化该体使用投影平面上的MIP类型的迭代过程和操作员在每次迭代中确定的强度阈值,从图像序列中自动提取与图像序列相对应的缩小体积的坐标,选择一个强度阈值在迭代过程中使用,从复杂场景的3D体积,坐标和选择的强度阈值中自动提取包含对象的缩小的3D体积,并通过强度阈值优化从减少的体积中自动生成优化的强度阈值优化的体素体积(一种与每种强度关联的颜色)可通过可视化识别对象。

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