光电工程
光電工程
광전공정
Opto-Electronic Engineering
2015年
11期
1-7
,共7页
轮对在线检测%Tsai异面标定%成像模型%光截法
輪對在線檢測%Tsai異麵標定%成像模型%光截法
륜대재선검측%Tsai이면표정%성상모형%광절법
wheel set online detection%Tsai non-coplanar calibration%imaging model%light-section method
基于光截图像测量技术的轮对在线检测中,面阵 CCD 摄像机拍摄的轮对光截曲线畸变严重,摄像机标定方法和标定精度直接影响轮对检测精度。本文根据非线性畸变成像模型,提出了一种基于移动平面标定板的 Tsai异面标定算法。根据径向约束条件和一阶径向畸变公式,利用最小二乘法和Levenberg-Marquardt优化算法标定出摄像机内、外部参数。并根据现场安装位置要求和光截曲线关键点区域分布情况,设计了标定板及其三个安装位置,实现了图像特征点提取和摄像机参数的标定。实验结果表明,Tsai异面标定算法标定精度在0.1 mm以内,满足轮对在线检测对标定精度的要求。
基于光截圖像測量技術的輪對在線檢測中,麵陣 CCD 攝像機拍攝的輪對光截麯線畸變嚴重,攝像機標定方法和標定精度直接影響輪對檢測精度。本文根據非線性畸變成像模型,提齣瞭一種基于移動平麵標定闆的 Tsai異麵標定算法。根據徑嚮約束條件和一階徑嚮畸變公式,利用最小二乘法和Levenberg-Marquardt優化算法標定齣攝像機內、外部參數。併根據現場安裝位置要求和光截麯線關鍵點區域分佈情況,設計瞭標定闆及其三箇安裝位置,實現瞭圖像特徵點提取和攝像機參數的標定。實驗結果錶明,Tsai異麵標定算法標定精度在0.1 mm以內,滿足輪對在線檢測對標定精度的要求。
기우광절도상측량기술적륜대재선검측중,면진 CCD 섭상궤박섭적륜대광절곡선기변엄중,섭상궤표정방법화표정정도직접영향륜대검측정도。본문근거비선성기변성상모형,제출료일충기우이동평면표정판적 Tsai이면표정산법。근거경향약속조건화일계경향기변공식,이용최소이승법화Levenberg-Marquardt우화산법표정출섭상궤내、외부삼수。병근거현장안장위치요구화광절곡선관건점구역분포정황,설계료표정판급기삼개안장위치,실현료도상특정점제취화섭상궤삼수적표정。실험결과표명,Tsai이면표정산법표정정도재0.1 mm이내,만족륜대재선검측대표정정도적요구。
In wheel set online detection based on structured light projection image technique, the wheel set light-section curves acquired by CCD are heavily distorted. The camera calibration method and calibration precision will directly affect the wheel set online detection precision. According to the nonlinear distortion imaging model, Tsai non-coplanar calibration algorithm based on a moving planar calibration plate was proposed. According to the radial alignment constraint and first-order radial distortion formula, the least square method and Levenberg-Marquardt optimization algorithm were used to calibrate the internal and external parameters of camera. The calibration plate and its three installation location were designed, on the basis of the requirements of on-site installation position and the key point regional distribution of the light-section curves. The extraction of image feature points and the calibration of camera parameters were realized. The experimental results show that the calibration precision of Tsai non-coplanar calibration algorithm was less than 0.1 mm. The calibration precision meets the demands of wheel set online detection.