面向高光金属表面的激光三维检测算法

摘要

针对激光三维检测过程中金属表面高光现象对后续检测带来的干扰问题，提出一种峰值连续性检测的方法。首先根据灰度图像的灰度信息提取每一列的灰度峰值；其次依据激光条纹连续性判断峰值信息的有效性，将有效峰值保留，去除干扰波峰，实现高光现象的去除；最后通过检测标准台阶块，对实验结果进行验证。结果表明，相对于一般细化处理的重建结果，高光处理后的重建精度可提高近50%，同时也证明了该方法的有效性。%Focusing on the interference problem of subsequent detection from highlight on metal surface in the process of 3D laser detection, a peak continuity detection method is proposed. Firstly, gray peak in each column is extracted according to the gray information in gray images. Then, the peak validity is estimated based on laser stripe continuity to remove false peak and maintain the valid, and the effect of highlight can be removed. Finally, experi-mental results are verified by detecting standard step block. The results show that the reconstruction accuracy after highlight processing is enhanced nearly 50% corresponding to the reconstruction results of common refinement treatment, and the validity of the method is verified.