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首页> 外文会议>IASTED International Conference on Visualization,Imaging and Image Processing >A 3D STRUCTURE TENSOR APPROACH TO MEDIAL SURFACE EXTRACTION AND SEGMENTATION USING LEVEL SETS
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A 3D STRUCTURE TENSOR APPROACH TO MEDIAL SURFACE EXTRACTION AND SEGMENTATION USING LEVEL SETS

机译：使用级别集合的3D结构张解机方法中的内侧表面提取和分割

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Medial surface extraction is a powerful tool for compact shape description, feature tracking, surface generation, and other image processing and visualization applications. Current techniques are ineffective for processing noisy realistic data, many are difficult to implement, and others only focus on 2D data. In addition, no previous approaches utilize the distance transform for segmentation of the medial surface. In this paper, a robust and simple 3D algorithm for extracting and segmenting the medial surface from arbitrary three-dimensional objects is presented. Critical points in the level sets of an object's distance transform are used to locate the medial surface. The structure tensor is used for both the extraction and to constrain a hierarchical segmentation technique for partitioning the medial surface into meaningful components. The proposed extraction method is computationally efficient, simple to implement, robust on noisy and complex topologies, and performs surface segmentation with little additional cost. The technique is tested on arbitrary 3D objects to demonstrate correctness and applied to extracting and segmenting faults from noisy seismic data to show robustness and real-world applicability.
机译：内侧表面提取是一种强大的刀具，用于紧凑的形状描述，具有特征跟踪，表面产生和其他图像处理和可视化应用。目前的技术对于处理嘈杂的现实数据是无效的，许多很难实现，其他人只关注2D数据。此外，没有先前的方法利用距离变换以进行内侧表面的分割。本文介绍了一种从任意三维物体中提取和分割内侧表面的鲁棒和简单的3D算法。对象距离变换的级别集中的临界点用于定位内侧表面。结构张量用于提取和约束分层分段技术，将内侧表面分成有意义的组件。所提出的提取方法是计算上的高效，在嘈杂和复杂的拓扑上实现易于实现的，并且具有几乎没有额外成本的表面分割。该技术在任意3D对象上测试，以展示正确性，并应用于从嘈杂的地震数据中提取和分割故障，以显示鲁棒性和现实世界的适用性。

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