图像拼接
放大倍数
光学
曲面(拓扑)
计算机科学
要素(刑法)
像素
人工智能
计算机视觉
物理
数学
几何学
政治学
法学
作者
Yongying Yang,Weimin Lou,Pengfei Zhang,Fanyi Wang,Zichen Lu,Pin Cao,Jianjun Jiang,Xiang Xiao
出处
期刊:Twelfth International Conference on Information Optics and Photonics
日期:2021-11-01
被引量:1
摘要
Quantitative defects detection has always been the one of the difficulties in optical element surface quality evaluation. In order to solve this problem, the optical element surface defects detection based on dark-field imaging system, which has been researched by our group team for nearly twenty years, has been summarized. The plane and sphere optical element surface defects detection details are introduced. Specifically, it involves plane optical element surface leveling, sphere optical element spherical center alignment, low magnification image acquisition, low magnification image stitching, feature extraction, high magnification defects detection and report output based on the form of specific standard (Such as America Military Standard MIL-PRF-13830B or China National Standard GB/T 1185-2006). Besides, a China National Standard about digitized quantitative measurement of the defect, which is proposed by our group (now is in the stage of request for public advice), is also introduced.
科研通智能强力驱动
Strongly Powered by AbleSci AI