深入分析了引起系统测量误差的原因，并利用神经网络对线结构光测量系统进行误差补偿，提高了系统的测量精度。
The reason that caused measurement error is analyzed deeply. The paper makes use of the neural network to compensate linear structured light measurement system, so improve the measurement precision.
摄像机光学畸变的修正以及图像处理的亚像素定位方法，减小了目标图像的定位误差，提高了系统的测量和调整的精度。
The correction of camera optics distortion and sub-pixel method for image processing can reduce the error of target image orientation for the precision improvement of system measuring.
实践证明，这种非线性数字滤波器不仅简便易行，而且提高了测量系统的测量精度和稳定性。
It is proved in practice that not only it is simple and easy to do, but also it raises the precision and stability of the measurement.
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