高精度线结构光光条中心快速提取算法
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贵州省自然科学基金项目(No.黔科合基础-ZK[2023]一般055);贵州省科技支撑计划项目(No.黔科合支撑[2023]一般465)资助。


High precision line structure light fast extraction algorithm
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    摘要:

    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426,在耗时上相对于传统Steger算法缩短了645,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。

    Abstract:

    The extraction of center lines from light fringes is a crucial step in line structure light measurement,as the extraction 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 convolution 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% compared 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.

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赵文培,程进,王梦莹,李庞跃,彭熙舜,龙纪安,李宜峰,陆安江.高精度线结构光光条中心快速提取算法[J].激光与红外,2024,54(12):1920~1927
ZHAO Wen-pei, CHENG Jin, WANG Meng-ying, LI Pang-yue, PENG Xi-shun, LONG Ji-an, LI Yi-feng, LU An-jiang. High precision line structure light fast extraction algorithm[J]. LASER & INFRARED,2024,54(12):1920~1927

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  • 在线发布日期: 2024-12-12
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