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机构地区:[1]杭州电子科技大学生命信息与仪器工程学院,浙江杭州310018
出 处:《传感器与微系统》2017年第2期97-100,共4页Transducer and Microsystem Technologies
基 金:国家自然科学基金资助项目(61372155)
摘 要:在基于光截图像的轮对在线检测系统中,由于现场安装环境的限制,使得摄像机拍摄得到的轮对轮廓曲线畸变严重,所以摄像机的标定方法与精度直接影响到轮对参数测量结果。结合测量现场实际情况,分析设计了整套标定系统,并提出了基于平面方程系数的摄像机标定算法,实现了摄像机参数的标定工作。经验证:该标定系统的标定精度在0.1 mm以内,满足轮对在线检测对标定精度的要求。In wheel set online detection based on structured light interception image technique, due to the space restraint, it made the wheel set light-section curves acquired are heavily distorted. Wheel set profile curve taken by camera has serious distortion, so camera calibration method and calibration precision will directly affect wheel set parameters online detection result. Combining with practical situation, the calibration system is analyzed and designed and propose a new camera calibration algorithm which is based on the coefficient of plane equation, camera calibration work is realized. It is verified that the calibration precision of the calibration system is within 0.1 mm, it meet the demands for wheel set online detection.
分 类 号:TP274[自动化与计算机技术—检测技术与自动化装置]
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