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- W2374438413 abstract "Shape From Shading(SFS) is an important research domain in the computer vision fields,this paper adopted 3D reconstruction method to reconstruct the contour of surface,to acquire the height value of micro-surface,which established the foundation for swift measuring surface quality.Computer micro-vision is taken as the detection means.The 3D topography and roughness parameters of the workpiece surface were obtained by 3D reconstruction of the gray images of the workpiece surface using shape From Shading.The SFS algorithm based on cook-torrance illuminant model was applied according to reflective characteristics of the metal micro-surface,3D topography reconstruction and roughness detection of the milled surface were completed.The results show that the surface roughness can be detected quickly and accurately in this method.The new ideas and methods about the in-situ detection of roughness is provided." @default.
- W2374438413 created "2016-06-24" @default.
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- W2374438413 date "2011-01-01" @default.
- W2374438413 modified "2023-09-26" @default.
- W2374438413 title "The End Milling Surface Roughness Detection based on Computer Vision" @default.
- W2374438413 hasPublicationYear "2011" @default.
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