在应用视觉测量系统时，摄像机标定是必要且关键的一步。当采用标定模板标定时，首要任务是对模板进行检测和定位。目前大量的模板检测定位采用的都是人工方法，它的显著缺点是效率低。为此，提出了一种复杂背景下新的模板自动检测与定位方法。该方法包括模板检测和精确定位两个步骤。前者利用图像分割、Hough变换实现模板检测；后者利用SUSAN算法对模板上的4个关键角点进行精确定位。实验结果表明，该方法实现简单、性能可靠，可适用于各种复杂的场景中。

Sensor calibration is a necessary and key step before applying photics sensor to measurement. While applying template in calibration, the first task is to detect and locate the template in complex background. At present, manual detection is used widely, whose efficiency is very low. To solve this problem, a new method for template detection and location under complex background is provided in this paper, which consists of two steps, template detection and precise location. The former implements the template detection using image segmentation and Hough transformation, and the later locates the four key corners on template using SUSAN technique. The experiment result shows that the proposed method is simple and reliable and it can be applied in any complex scene.