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《Geospatial Information》 2014-01
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Improved Algorithm of Building Point Cloud Segmentation Based on Otsu

QIN Jiaxin;  
In view of the defect of traditional Otsu algorithm in building point cloud segmentation, this paper proposed an improved algorithm. Firstly, 3D point cloud was transformed into 2D image according to the theory of projection point density. Then, two-dimensional image was segmented by traditional and improved Otsu algorithm. The algorithm proposed in this paper was tested by the building point cloud of Wuhan University Information Faculty Number 1 building by vz-400 LiDAR scanner. The accuracy was enhanced significantly from 72.82% to 96.54% compare to unimproved method.
【Fund】: 国家科技支撑计划项目(2012BAH34B02、2012BAJ15B04)
【CateGory Index】: TP391.41
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