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首页> 外文期刊>Computer vision and image understanding >Identification And Sizing Of The Entirely Visible Rocks From A 3d Surface Data Segmentation Of Laboratory Rock Piles
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Identification And Sizing Of The Entirely Visible Rocks From A 3d Surface Data Segmentation Of Laboratory Rock Piles

机译：从实验室岩堆的3d表面数据分割识别和识别整个可见岩石

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Once segmentation of 3D surface data of a rock pile has been performed, the next task is to determine the visibility of the surface rocks. A region boundary-following algorithm that accommodates irregularly spaced 3D coordinate data is presented for determining this visibility. We examine 3D surface segmentations of laboratory rock piles and determine which regions in the segmentation correspond to entirely visible rocks, and which correspond to overlapped or partially visible rocks. This is a significant distinction as it allows accurate size determination of entirely visible rocks, separate handling of partially visible rocks, and prevents erroneous bias resulting from mishandling partially visible rocks as smaller entirely visible rocks. Literature review indicates that other rock pile sizing techniques fail to make this distinction. The rock visibility results are quantified by comparison to manual surface classifications of the laboratory piles and the size results are quantified by comparison to the sieve size.
机译：一旦完成了岩石桩的3D表面数据分割，下一个任务就是确定表面岩石的可见性。为了确定这种可见性，提出了一种适应不规则空间的3D坐标数据的区域边界跟踪算法。我们检查了实验室岩石桩的3D表面分割，并确定分割中的哪些区域对应于完全可见的岩石，哪些区域对应于重叠或部分可见的岩石。这是一个显着的区别，因为它可以准确确定完全可见的岩石的大小，分别处理部分可见的岩石，并防止由于将部分可见的岩石误认为较小的完全可见的岩石而导致的错误偏见。文献综述表明，其他岩石堆定径技术无法做到这一点。岩石可见性结果通过与实验室堆的手动表面分类进行比较来量化，尺寸结果通过与筛子尺寸进行比较来量化。

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