在基于三角法的线结构光三维测量系统中，如何快速精确地从光条图像中提取光条中心位置是实时精密测量的关键问题。本文在分析线结构光光源选择、环境噪声和被测物体表面反射属性等影响光条中心提取因素的基础上，对当前已有的线结构光光条中心提取方法进行综述，包括专门的光条图像去噪技术和阈值分割技术，以及传统的和改进的光条中心提取算法，分析其原理及关键技术。最后，针对目前线结构光测量中存在的问题给出建议，指出开发能处理高像素图像，并能在室外强光和复杂的自然环境中使用的单目激光系统是将来的发展趋势。

In the linear structured light three-dimensional measurement system based on triangulation, how to quickly and accurately extract light strip center from an image is pivotal to real-time and precise measurement. Firstly, the factors influencing light strip center extraction are described, such as linear structured light sources, environmental noise and surface reflectance properties of the measured object. Then the existing methods, including specialized light image de-noising and threshold segmentation technologies, traditional and improved light strip center extraction algorithms, are summarized. The principle and key technology of these algorithms are analyzed. Finally, some advices aiming at problems appearing in the existing methods are given, and it is pointed out that the developing monocular laser systems which can handle with high pixels image and can be used in outdoor light and complicated natural environment are the development trend in the future.