激光技术, 2020, 44 (2): 190, 网络出版: 2020-04-04
基于灰度权重模型的激光条纹中心提取算法
Laser stripe center extraction algorithm based on gray weight model
摘要
为了在多噪声环境中精确提取激光条纹中心,采用改进的灰度权重模型, 提取激光条纹的亚像素中心。通过均值阈值法以及改进的灰度权重模型对3维激光成像系统采集的图像进行了处理,并与传统的算法进行对比。结果表明,该算法能够较为完整地提取激光条纹区域,并且其平均拟合相关系数为0.9809(最接近1),平均列坐标最大差值为0.4518pixel(最接近0),平均变异系数为0.0062(最接近0),相对其它方法具有更优的结果,能够抑制多噪声环境对于激光条纹提取的影响,精确提取激光条纹的亚像素中心,具有较好的鲁棒性。该算法为精确提取激光条纹的中心提供了参考。
Abstract
In order to extract the center of laser stripe accurately in noisy environment, the improved gray-scale weight model was adopted to extract subpixel centers of laser fringes. The image acquired by 3-D laser imaging system was processed by means of mean threshold method and the improved gray weight model. The method was compared with the traditional algorithm. The results show that, the algorithm can extract laser fringe region more completely. The average fitting correlation coefficient is 0.9809 (closest to 1). The maximum difference of average column coordinates is 0.4518pixel (closest to 0). The average coefficient of variation is 0.0062 (closest to 0). Compared with other methods, it has better results. It can suppress the influence of multi-noise environment on laser stripe extraction and extract subpixel centers of laser fringes accurately. It has good robustness. The algorithm provides a reference for extracting the center of laser fringes accurately.
黄凌锋, 刘光东, 张超, 甘宏, 罗文婷, 李林. 基于灰度权重模型的激光条纹中心提取算法[J]. 激光技术, 2020, 44(2): 190. HUANG Lingfeng, LIU Guandong, ZHANG Chao, GAN Hong, LUO Wenting, LI Lin. Laser stripe center extraction algorithm based on gray weight model[J]. Laser Technology, 2020, 44(2): 190.