Sample simplifying method of radial basis function support points
A technology of support points and basis functions, applied in image data processing, 3D image processing, instruments, etc., can solve time-consuming problems, achieve fast speed, improve efficiency, and be easy to obtain
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[0027] The technical solution of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.
[0028] The data sample simplification scheme of the present invention is to first use a group of cuboids to group the boundary grid points, each group has about 100 grid points, and calculate the average position and average deformation of each group of grid points. When searching for the next group of sample points, first search out the 3-5 groups with the largest deformation error of the average position of the grid points in each group, and then search for the grid points in these 3-5 groups Search one by one to determine the grid point with the largest grid deformation error in each group, and add it to the sample space as a new sample point.
[0029] A sample reduction method for radial basis function support points, comprising the following steps:
[0030] Step 1. Collect boundary grid point coordinate...
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