Surface Illumination Model And 3D Reconstruction Method Of Micro Machined Surface

Along with the progress of science and technology,the micro morphology of the surface of mechanical machining has an important influence on the performance and quality of the processed products,meanwhile,the viewing angle of study has changed from macro perspective to micro perspective.Therefore,how to quickly and accurately measure the micro morphology of the cutting surface has become a hot research in the field of Surface Science in recent years.This thesis focuses on the surface of the machined block as experiment object,takes the photos of micro images and three-dimensional topography data of surface,and proposes an improved model based on research of the existing light illumination model.Through multi scale wavelet decomposition,we get the low frequency and high frequency signal of microscopic images and topographic data of surface.This thesis analyzes the reflection properties of the low frequency and high frequency level respectively and proposes an analytical reconstruction algorithm based on gray gradient,which is used to reconstruct the low frequency and high frequency morphology.A new idea and method for the micro reflection model and surface reconstruction of the cutting surface is presented.The microscopic imaging process and the condition of the cutting surface were analyzed.The DCM 3D Leica confocal microscope was used to obtain the data of the micro image and the morphology of the surface of the rough surface of the turning,milling and boring.The true gray level and the height change can be reflected after the micro image and morphology data were pretreated,which laid the foundation for the study of the micro reflection characteristics of the surface.The analysis of the light reflection phenomena of the cutting surface are conducted from the photometry angle.The principle,application and existing problems of the current illumination model are analyzed,and an improved illumination model is put forward.Use the least square method to optimize the parameters of the illumination model.The micro image of the machined surface was synthesized based on the illumination model.The synthesis error is relatively large compared with the real microscopic image.Wavelet multi-scale decomposition is used to decompose the surface micro image and morphology data,and low frequency and high frequency information are extracted relatively.According to the low frequency part,the microscopic images are synthesized by the existing light model,and the error of the image is large.An empirical expression is proposed to describe the low frequency gray level relationship.According to the high frequency part,using the existing light model to synthesize the microscopic image,the most suitable illumination model is obtained.The principle and problem of traditional SFS method are analyzed,and an analytical reconstruction method based on gray gradient constraint is proposed,and the simulation results are presented.The low frequency and high frequency topography reconstruction of the machined surface is good.