摘要
利用线结构光对工件进行三维测量时,快速、准确提取激光光条中心是测量系统的关键技术之一。提出一种基于空间灰度重心推进的激光中心提取方法。该方法基于激光条纹空间灰度重心向前推进,结合八邻域判定法进行光条空间区域的选取,接着对选取的区域进行新的空间灰度重心坐标提取;在完成整幅图像提取后,采取3σ准则剔除异常中心点,最终获得激光中心坐标信息。实验结果表明,所提算法对不同类型条纹的适用性强,提取效果稳定。提取中心均方根误差为0.492pixel,相较于提取精度最优的Steger改进算法提升了9.8%,提取速度提高了5倍;相较于处理速度最优的内部推进算法,在保持提取速度基础上,提取精度提升了24.1%。同时,所提算法极大增强了对欠曝光光条图像的处理能力,有效降低了环境对线结构光测量的限制。
It is one of the key technologies to extract the center of laser stripe quickly and accurately when using linear Structured light for 3D measurement of workpiece.In this paper,a method that a laser center extraction method based on spatial gray gravity center advancing is proposed.which method bases on advancing the gray center of gravity in the laser stripe space,combining the eight neighborhood decision method to select the light stripe space area,then extracting the new spatial gray Barycentric coordinate system coordinates of the selected area;The pauta criterion eliminates abnormal center points and ultimately obtains the laser center coordinate information behind completing the entire image extraction.The experimental shows that the Root-mean-square deviation of the extraction center of the proposed algorithm is 0.492 pixel,which is 9.8%higher than the optimal extraction precision Steger improved algorithm,and the extraction speed is 5 times higher.Compared to the internal advancement algorithm with the best processing speed,while maintaining the extraction speed,the accuracy has been improved by 24.1%.At the same time,the proposed algorithm greatly enhances the processing ability of under exposed light stripe images,effectively reduces the restriction of the environment on the measurement of line Structured light.
作者
卜民众
吴国新
黄金鹏
左云波
刘秀丽
Bu Minzhong;Wu Guoxin;Huang Jinpeng;Zuo Yunbo;Liu Xiuli(Key Laboratory of Modern Measurement and Control Technology,Ministry of Education,Beijing Information Science and Technology University,Beijing 100192,China;School of Mechanical Electrical Engineering,Beijing Information Science&Technology University,Beijing 100192,China)
出处
《电子测量技术》
北大核心
2024年第2期44-50,共7页
Electronic Measurement Technology
基金
国家重点研发计划课题(2020YFB1713203)
北京信息科技大学勤信人才项目(QXTCPC202120)
机电系统测控北京市重点实验室开放课题(KF20222223201)项目资助。
关键词
测量
线结构光
空间灰度重心
3σ准则
measurement
linear structured light
spatial grayscale center of gravity
pauta criterion
