Hongjun Wang, Chen Wei, A. Tian, Bingcai Liu, Xueliang Zhu
{"title":"Surface roughness detection method of optical elements based on region scattering","authors":"Hongjun Wang, Chen Wei, A. Tian, Bingcai Liu, Xueliang Zhu","doi":"10.1117/12.2605355","DOIUrl":null,"url":null,"abstract":"To achieve rapid and accurate detection of the surface roughness of optical elements, a surface roughness detection method based on region scattering was proposed in this paper. Firstly, starting from the basic principle of the angle-resolved scattering method, a surface roughness detection model based on the area scattering distribution is established. Then, the influence of incident angle, incident wavelength, etc. on the scattering distribution is simulated and analyzed, and the best sampling region of the scattering distribution is determined. Finally, the experiment completes the acquisition and processing of the surface scattering distribution of the optical elements, and the dynamic range of the scattering distribution is improved through the fusion of the multi-exposure scattering image, thereby realized the high-precision detection of surface roughness. Take optical components as test objects, the experimental results show that the use of regional scattering signals to characterize the surface roughness of components can improve the measurement speed while ensuring the measurement accuracy.","PeriodicalId":236529,"journal":{"name":"International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2605355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
To achieve rapid and accurate detection of the surface roughness of optical elements, a surface roughness detection method based on region scattering was proposed in this paper. Firstly, starting from the basic principle of the angle-resolved scattering method, a surface roughness detection model based on the area scattering distribution is established. Then, the influence of incident angle, incident wavelength, etc. on the scattering distribution is simulated and analyzed, and the best sampling region of the scattering distribution is determined. Finally, the experiment completes the acquisition and processing of the surface scattering distribution of the optical elements, and the dynamic range of the scattering distribution is improved through the fusion of the multi-exposure scattering image, thereby realized the high-precision detection of surface roughness. Take optical components as test objects, the experimental results show that the use of regional scattering signals to characterize the surface roughness of components can improve the measurement speed while ensuring the measurement accuracy.