Multi-scale surface flatness evaluation method based on the idea of two-dimensional convolution

This paper proposes a multi-scale surface flatness evaluation method, where the surface flatness of objects is measured by using laser point clouds. This method is based on the idea of two-dimensional convolution, and the natural neighbor interpolation (NNI) is used to construct convolution kernels and establish an evaluation function. By changing the size of the convolution kernel, it is easier to reflect the situation of plane flatness at different scales. At the same time, according to the convolution results, non-flat regions and their sizes can be quickly extracted. Finally, the effectiveness of the evaluation method is verified by simulations and experiments.