Morphological graphic processing-based point cloud data smoothing method
A technology based on morphology and point cloud data, applied in image data processing, image enhancement, image analysis, etc., can solve problems such as inability to fill data, lack of accurate expansion of local areas, etc., to improve algorithm efficiency, smooth surface, and time complexity small effect
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[0028] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0029] Such as figure 1 As shown, a kind of lidar point cloud data smoothing method based on octree algorithm of the present invention comprises the following steps:
[0030] Voxelize the input point cloud data based on the octree algorithm;
[0031] On the basis of voxelized point cloud data, traversal extracts boundary voxels, and selects point sets of surface and corner points as candidate feature points for smoothing;
[0032] The 3D morphological operator is used to open and close the candidate feature points, so as to achieve smoothing, denoising and surface restoration of point cloud data.
[0033] Among them, an Octree is a tree-like data structure used to describe a three-...
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