Research On Optical Surface Deviation Detection Technology And Parameter Optimization

The lens is the "eye" of various large-scale intelligent production.In recent years,the demand for high-end lenses with high resolution,large field of view,and large aperture angle has increased in index level,but the production of high-end lenses is inseparable from the innovation in optical inspection technology.Therefore,it is urgent to develop optical surface reconstruction and deviation detection technology to ensure its quality.Traditional optical surface reconstruction and deviation detection techniques are mostly done by manual interpretation,and there is a misreading of the inspection workers.Based on these factors,this research team independently developed a non-contact optical surface reconstruction and deviation detection system based on the Twyman-Green Interferometer.The detection technology is stable,non-destructive,fast and stable.The characteristics will gradually replace the traditional detection method.In this thesis,the optical surface fringe image formed between the standard surface and the surface to be tested is acquired by the optical surface reconstruction and deviation detection system developed by the research group.Digital Image Processing technology is used to perform RGB to grayscale image,normalization,filtering,binarization,refinement,repair,level calibration and other digital image processing on optical interference fringe image.The Zernike Polynomials is used to reconstruct the surface to be tested by the consistency of the aberration polynomial form in the optical surface reconstruction and deviation detection,and the optical surface deviation of the surface to be tested and the standard surface is calculated.Finally,from the perspective of optical aberration theory,by analyzing the factors of optical interference fringe image formation,the factors affecting the optical surface reconstruction and deviation detection are analyzed and compared,and the test software parameters are optimized to greatly improve the detection speed and detection accuracy.This thesis aims to explain to readers the basic structure of the optical surface reconstruction and deviation detection system developed by our research group and to develop a set of optical surface reconstruction and deviation detection software suitable for the contactless automation of the detection system.The detection provides a theoretical basis,and the parameters of the detection software are optimized to improve the performance of the optical surface deviation detection software.The software development environment developed in this thesis is Matlab R2018b platform under Windows 7 operating system.It has good scalability and portability,strong reliability,and program compatibility is code level compatible.