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基于通用有理多项式模型的伽马非线性自补偿

Gamma Nonlinear Self-Compensation Based on General Rational Polynomial Model
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摘要 为减小数字相移条纹投影系统中非线性响应引起的相位误差,提出了一种基于通用有理多项式模型的自补偿方法。该方法首先利用多项式来建模投影仪的未知非线性,然后建立相位误差函数。其次,利用离群检测算法剔除偏离点,并利用优化函数多次迭代求解出误差函数中的相位误差系数。最后,将含有误差的相位代入到相位误差函数中,通过不动点迭代运算对相位误差进行逐点修正。实验结果表明,上述自补偿方法易于实现且不需要预先校准,在无须提前标定数据条件下,可以有效减小数字相移条纹投影过程中的非线性误差,有助于提高系统的测量精度和测量效率。 To reduce the phase error caused by the nonlinear response in the digital phase-shifting fringe projection system,a self-correction method based on the universal rational polynomial model is proposed.The method first uses polynomials to model the unknown nonlinearity of the projector,and then establishes the phase error function.Second,the outlier detection algorithm is used to eliminate the deviation points,and the phase error coefficient in the error function is solved iteratively by using the optimization function.Finally,the phase with error is substituted into the phase error function,and the phase error is corrected point by point through fixed point iteration.The experimental results show that the proposed self-correction method is easy to implement and does not require pre-calibration,and can effectively reduce the nonlinear errors in the digital phase-shifting fringe projection process without the need of data calibration in advance,which is helpful to improve the measurement accuracy and efficiency of the system.
作者 薛晓梅 孙丽君 陈天飞 范鹏翔 Xue Xiaomei;Sun Lijun;Chen Tianfei;Fan Pengxiang(Key Laboratory of Food Information Processing and Control of Ministry of Education,Henan University of Technology,Zhengzhou 450001,Henan,China;Zhengzhou Key Laboratory of Machine Perception and Intelligent System,Henan University of Technology,Zhengzhou 450001,Henan,China;College of Information Science and Engineering,Henan University of Technology,Zhengzhou 450001,Henan,China)
出处 《激光与光电子学进展》 CSCD 北大核心 2024年第12期93-103,共11页 Laser & Optoelectronics Progress
基金 国家自然科学基金(62173127,61973104) 河南省优秀青年科学基金(212300410036) 郑州市协同创新专项(21ZZXTCX06)。
关键词 数字相移条纹投影 有理多项式误差模型 相位误差补偿 非线性响应 digital phase-shifting fringe projection rational polynomial error model phase error compensation nonlinear response
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