To improve the reverse modeling efficiency of aeroengine pipelines, a region-growing segmentation algorithm for aeroengine pipeline point cloud data is proposed based on geometric attributes.
为了提高航空发动机管路测量数据的反求建模效率，提出了一种区域增长分割算法。
A systematic scheme is proposed to automatically extract geometric surface features from a point cloud composed of a set of unorganized three-dimensional coordinate points by data segmentation.
给出了数据分块系统性方案，即从仅含有三维坐标的散乱的点云中自动提取几何曲面特性。
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