首页|高精度线结构光光条中心快速提取算法

高精度线结构光光条中心快速提取算法

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提取光条纹中心是线结构光测量中至关重要的环节,提取效果直接影响测量速度和精度.针对传统Steger算法提取光条纹中心时存在由于光条纹宽度变化过大和冗余点过多导致提取精度低的问题,本文提出一种改进Steger快速高精度光条纹中心线提取方法.首先对光条纹原图像进行图像预处理,去除噪声点并保留感兴趣区域;然后通过直接遍历像素点的方式快速获得光条纹宽度,并对光条纹区域进行Canny边缘检测,结合几何中心法对条纹边缘图进行计算,获得像素初始点;最后对初始点进行一维卷积构建Hessian矩阵,在法线上进一步精确提取中心线.实验结果表明:该算法的精度相对于传统Steger算法提升了 42.6%,在耗时上相对于传统Steger算法缩短了 64.5%,可以实现精确提取亚像素级精度光条纹的同时又满足工业测量的实时性的要求.
High precision line structure light fast extraction algorithm
The extraction of center lines from light fringes is a crucial step in line-structure light measurement,as the ex-traction accuracy directly affects the measurement speed and precision.In response to the low extraction accuracy issue in traditional Steger algorithm due to large variations in light fringe width and excessive redundant points,an improved Steger-based fast and high-precision method for extracting center lines from light fringes is proposed in this paper.First of all,the original image of light fringes is preprocessed to remove noise points and retain the region of interest.Then,the width of light fringes is rapidly obtained by directly traversing pixel points,followed by Canny edge detection on the fringe area and calculation of pixel initial points using the geometric center method.Finally,a one-dimensional convolu-tion is performed on the initial points to construct the Hessian matrix,enabling further precise extraction of the center line along the normal direction.Experimental results demonstrate that this algorithm improves accuracy by 42.6%com-pared to the traditional Steger algorithm and reduces processing time by 64.5%,thus achieving precise sub-pixel level extraction of light fringes while meeting the real-time requirements of industrial measurement.

line structure light measurementlight fringe centerline extractionSteger algorithmCanny edge detectiongeometric center method

赵文培、程进、王梦莹、李庞跃、彭熙舜、龙纪安、李宜峰、陆安江

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贵州大学,贵州贵阳 550025

西安工业大学,陕西西安 710016

无锡微视传感科技有限公司,江苏无锡 214192

线结构光测量 光条纹中心线提取 Steger算法 Canny边缘检测 几何中心法

2024

激光与红外
华北光电技术研究所

激光与红外

CSTPCD北大核心
影响因子:0.723
ISSN:1001-5078
年,卷(期):2024.54(12)