摘要
在傅里叶变换轮廓术(FTP)中,频谱中的基频分量包含物体的高度信息,基频分量的提取效果对物体三维形貌复原的精度有重要影响。通过π相移技术可以消除背景分量,即零频部分,从而能更好地提取出基频分量,减小测量误差。文中通过计算机仿真对含有噪声的光栅条纹图像进行三维恢复,证实了π相移技术对提高FTP测量精度的作用。并将该方法应用于钢轨表面轮廓的三维复原和测量,为钢轨磨耗和表面缺陷的测量提供有效方法。
In Fourier transform profilometry （ FTP ） , height information ol objects is contained by thefundamental component ol the spectrum. The extraction of the fundamental component is important for theprecision of three-dimensional measurement. The zero component can be ruled out through n phase-shiftmethod,which results in better extraction of fundamental component with low errors. In the paper, nphase-shift technology is simulated to improve the accuracy of Fourier transform profilometry with noisygrating fringe. And this technology is applied in the 3D recovery of rail shape,providing an effectivemethod in the measurement of rail abrasion and surface flaws.
出处
《信息技术》
2016年第7期50-52,57,共4页
Information Technology
基金
中央高校基本科研业务费专项资金科技创新项目(2682014CX083)
关键词
傅里叶变换轮廓术
π相移
钢轨轮廓
Fourier transform profilometry
n phase-shifting
contour of rail
