一种基于控制点自动提取的图像畸变校正算法

Image geometry calibration method based on automated acquirement of control points

在机器视觉应用中,摄像机光学系统产生的图像存在不同程度的几何畸变。为了提高图像在做定量分析时的准确性,必须对这一类畸变进行修正。在基于控制点的校正方法基础之上,研究了一种将图像分片,利用模板自动提取控制点亚像素坐标,分片校正的快速算法。实际应用表明,该方法是可靠有效的。

In the machine vision application,geometrical distortion in optical lens imaging is inevitable.They must be corrected before quantitative measurements.A geometric calibration algorithm is proposed in this paper.The image is firstly divided into rectangles,the control points is recognised and computed automatically,then an appropriate first-order polynomial is used to approximate the high-order polynomial within each rectangle.Practical application shows that the method is reliable and effective.