摘要
引入Stoilov算法以让传统相位测量轮廓术(PMP)应用于在线三维检测,但该算法的计算式中含有开方和除法运算,对投射数字光场,CCD摄像头的数字化非线性误差以及环境光干扰较为敏感,会出现较大的解相误差。为此,提出了一种适合在线三维检测的改进型Stoilov算法,通过像素匹配方法标定移动步距S和基于标准PMP的截断相位解相标定条纹周期长度L,再标定出相移量△,即可修正sin△值,有效减小了原Stoilov算法公式的解相误差,提高了在线检测精度。为验证该方法的可行性和有效性,进行了实物测试实验。实验表明,在在线三维测量中,采用原始Stoilov算法重构的三维物体出现明显的失真,而采用改进的Stoilov算法重构的三维物体具有很好的保真度。
In order to apply the traditional phase measuring profilometry （PMP） to on-line 3D inspection, Stoilov＇s algorithm is introduced. However, the formula of the original Stoilov＇ s algorithm includes evolution and division operators, and it is quite sensitive to the digitized influence of digital light projector or CCD camera and the disturbance of the surrounding light, which leads to serious phase computing errors inevitably. Therefore, an improved algorithm based on the Stoilov＇s algorithm is proposed in detail. The moving step S can be calibrated by pixel matching and the stripe period length L can be calibrated by computing the discrete phase with standard PMP, then the phase-shift quantity △ can be calibrated, so as the sin △. The phase computing error can be minished in effect and the precision of on-line inspection can be improved. In order to verify its feasibility and validity, the experiments are carried on. They show that in on-line 3D measurement the reconstructed 3D object appears visible distortion with the original algorithm but remains fidelity with the improved algorithm instead.
出处
《中国激光》
EI
CAS
CSCD
北大核心
2009年第6期1503-1507,共5页
Chinese Journal of Lasers
基金
国家863计划(2007A01Z333)
国家重大专项(2009ZX02304-13)
四川省学术技术带头人培养基金(07GRC 01)资助课题
关键词
信息光学
Stoilov算法
相位测量轮廓术
在线三维检测
相移
像素匹配
information optics
Stoilov＇s algorithm
phase measuring profilometry
on-line 3D inspection
phaseshifting
pixel matching
