摘要
基于机器视觉的图像处理方法突破了检测区域的尺寸限制,能满足大口径光学元件表面洁净度检测的需要,但存在光、机、电耦合问题。采用多学科设计优化方法处理学科间的耦合关系,建立了学科间耦合关系和学科耦合分析模型,实现了学科协调;分析了光学系统设计、运动系统设计、结构设计、图像拼接、图像处理和洁净度计算等多学科子系统实现的关键点,建立了满足检测要求的检测系统。
Image processing methods based on machine vision meet the needs of large-caliber optical surface by breaking the detection of regional size limits,but with coupling of light,mechanical and electrical elements.The coupling relations of different subsystems were treated with multi-disciplinary design optimization approach,by establishing the coupling relation of disciplinary,the coupling analysis model,to achieve subject co-ordination.The key points of optical subsystem design,movement subsystem and structural design,image mosaic,image processing and cleanliness calculated were systematically represented.The testing system was built to meet the testing requirements.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2010年第23期2839-2842,2851,共5页
China Mechanical Engineering
基金
国家自然科学基金委员会与中国工程物理研究院联合基金资助项目(10976034)
湖南省教育厅资助科研项目(10C1197)
关键词
多学科优化
洁净度检测
光学元件
表面洁净度
multi-disciplinary optimization
cleanliness testing
optical surface
surface cleanliness