摘要：在基于线结构光的视觉测量系统中，激光条纹中心位置的准确提取是影响系统精度的关键因素之一。本文分析了光条中心提取算法的研究现状，并比较了现有算法的优缺点，提出了一种结合梯度锐化和重心法的光条中心提取算法，该算法首先利用梯度锐化提取出光条的边缘，根据提取出的边缘得到光条的近似中心，然后在光条近似中心左右的小区域内利用重心法提取光条中心。实验结果表明,该算法能够准确地提取出光条中心，具有很强的抗噪声能力，精度为亚像素级。

Abstract：In structured-light vision system, the accuracy of laser stripe center position is one of the main factors that influences the system accuracy. It analyzes current situation of algorithm for detecting the Center of Structured Light Stripe, and compares advantages and disadvantages between current algorithms. We put forward a new algorithm to detect the Center of Structured Light Stripe combining gradient sharpening with barycenter method,which firstly extracts fringe using gradient sharpening,secondly gets quasi-center of Structured Light Stripe, lastly attains the Center of Structured Light Stripe with barycenter method .Experiment results indicate this algorithm can extract Center of Structured Light Stripe accurately, it is of strong anti-noise capability and its accuracy is at sub-pixel level.