提出一种新的快速激光条纹中心提取算法,该算法具有较好的抗噪声或冗余点能力。该算法在传统重心算法的基础上结合轮廓跟踪算法,根据激光条纹在图像中的分布特点,通过阈值轮廓跟踪算法避免了对图像中不包含激光条纹区域的扫描,以此提高了提取速度,不用对整幅图像完成一次扫描即可计算出激光光条中心。所提算法具有复杂度低、计算简单、程序运行时间少等优点。实验结果表明:该算法能够实现对光条中心的快速提取,比Steger算法提速将近70.37倍,比传统重心算法提速将近4.48倍;对光条图像增加噪声(冗余)点后发现,所提算法具有优良的抗噪效果。

In this paper, a new and fast extraction algorithm for a laser strip center with the ability to effectively resist noise or redundant points is presented. The proposed method combines the traditional barycenter algorithm and the contour tracking algorithm. Based on the distribution characteristics of laser strip in the image, the threshold contour tracking algorithm is used to avoid scanning the area that does not contain a laser fringe in the image, thereby improving the extraction speed. Therefore, the center of the laser strip can be extracted without scanning the whole image. The proposed algorithm provides advantages such as low complexity, simple calculation, and less running time. Experimental results show that the proposed algorithm can achieve fast extraction of the laser strip center. Furthermore, it is nearly 70.37 times faster than the Steger algorithm and 4.48 times faster than the traditional barycenter algorithm. Moreover, the proposed algorithm achieves excellent anti-noise effect subsequent to adding noise (redundancy) points to the light bar image.