周炳南, 闵华松, 康雅文. PCL环境下的3D点云分割算法研究[J]. 微电子学与计算机, 2018, 35(6): 101-105.
引用本文: 周炳南, 闵华松, 康雅文. PCL环境下的3D点云分割算法研究[J]. 微电子学与计算机, 2018, 35(6): 101-105.
ZHOU Bing-nan, MIN Hua-song, KANG Ya-wen. Research on 3D Point Cloud Segmentation Algorithm in PCL Environment[J]. Microelectronics & Computer, 2018, 35(6): 101-105.
Citation: ZHOU Bing-nan, MIN Hua-song, KANG Ya-wen. Research on 3D Point Cloud Segmentation Algorithm in PCL Environment[J]. Microelectronics & Computer, 2018, 35(6): 101-105.

PCL环境下的3D点云分割算法研究

Research on 3D Point Cloud Segmentation Algorithm in PCL Environment

  • 摘要: 本文在点云库的基础上, 比较经典的欧式距离分割算法、区域生长分割算法和最新的SegmenterLight分割算法并对影响分割性能的预处理算法做出对比分析.根据得到的实验结果, 本文对取得最佳的分割性能的预处理算法给出建议.

     

    Abstract: This paper compares classic Euclidean distance segmentation algorithm and the regional growth segmentation algorithm with state-of-art SegmenterLight segmentation algorithm, and makes a comparative analysis of the preprocessing algorithm that affects the segmentation performance. Based on the experimental results, we give suggestions for the preprocessing algorithm achieving the best segmentation performance.

     

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