基于立体视觉的平面圆参数高精度测量算法*

针对目前平面圆的圆心和半径测量方法存在的不足，提出一种基于立体视觉的平面圆参数高精度测量方法。该方法首先根据边缘分组算法和二次曲线椭圆拟合判别算法提取双目图像中的椭圆特征；其次利用分段立体匹配算法获取平面圆特征上部分点的三维坐标；最后通过三维平面拟合、坐标转换、平面圆拟合以及坐标反变换获取平面圆的圆心和半径参数。实验结果表明，该方法有效地减小了平面圆透视投影引起的畸变误差，提高了平面圆参数的测量精度。

High precision measurement method of parameters of plane circle based on stereo vision

This paper proposed a high precision measurement method of plane circle parameters based on stereo vision to solve the certain deficiency which existed in current method of measuring the center and radius parameter of plane circle.Firstly,using the edge grouped algorithm and ellipse fitting algorithm,extracted the ellipse shape in stereo image.Secondly,acquired the 3D coordinate of points in the circle shape by the grouping stereo matching algorithm. Lastly through the three-dimension plane fitting algorithm, transformation of coordinates algorithm, circle fitting algorithm and transformation of coordinates inversely,calculated the plane circle parameters.The experiment shows that the method can decrease the distortion caused by perspective projection and can improve the measurement accuracy.