针对线结构光测量系统中如何准确快速地提取出光带中心的问题，根据线结构光图像上光带中心两边的灰度梯度特性及光带灰度的非正态分布特点，提出了一种基于梯度重心法的线结构光光带中心快速亚像素提取算法。该算法采用低通平滑滤波和幂次变换降低图像噪声和光带灰度非正态分布对光带中心提取的影响，运用自适应阈值法确定光带的边界阈值，应用梯度重心法进行光带中心的亚像素提取。实验结果表明，基于梯度重心法的光带中心提取算法具有较高的提取精度，并且有良好的抗噪性和鲁棒性。应用了此方法的3维测量系统的精度也得到了显著提高。

Aiming at extracting the center position of light stripe accurately and efficiently in linear structured light measurement system, a method which extracts sub-pixel center position of light stripe was proposed, according to the property of the light stripes intensity gradient and non-normal distribution. The method applies low pass filter and power transformation to decrease the error caused by image noise and non-normal distribution of stripe intensity, it uses adaptive threshold method to obtain the light stripes gray edge, and extracts the sub-pixel center position of light stripe by gradient barycenter. Our experiment results proved that gradient barycenter method not only extracts the stripe center accurately, but also has good anti-noise and robust performance. The method improved the measurement precision of the 3D measurement system remarkably.