为了减少噪声对摄像机镜头畸变的校正结果带来的影响,提出了一种校正摄像机镜头畸变的非量测方法。先找出由直线畸变而成的曲线,再用直线段连接每条曲线的两个端点形成一些闭合曲线,把它们的面积平方和定义为畸变测度,并用遗传算法搜索畸变测度的最小值,以此得到畸变参量。计算表明,该畸变测度具有较好的抗噪声能力,而遗传算法能避免收敛于局部极小值,减少了矫正图像的均方根误差。实验表明,对多幅图像分别和联合校正,相应矫正图像之间的均方根误差较小。计算和实验都表明该校正方法具有良好的稳健性。

To reduce the negative influence of noise on the correction of camera lens distortion, a nonmetric calibration method for camera lens distortion is proposed. In this method, all curves distorted from straight lines are found out and closed by connecting their endpoints with straight-line segment, and the sum of squares of area of those closed curves is computed as distortion measurement whose minimum is determined with the aid of genetic optimistic algorithm, and thus the distortion parameters are gotten. Computation indicates that this distortion measurement offers preferable ability of anti-noise, and that genetic algorithm is able to avoid convergence to local minima. So root-mean-square (RMS) errors of rectification images are decreased. Experiment shows that RMS errors between the rectified images obtained by calibrating with each image and those obtained by calibrating with all images are small. Both computation and experiment demonstrate that this calibrating method is robust.