期刊 线激光光条中心内部推进提取算法  

Internal Propulsion Algorithm for Extracting Center of LineI saser Stripe

作  者:李伟明 梅枫 胡增 高兴宇 喻豪勇 

Li Weiming;Mei Feng;Hu Zeng;Gao Xingyul;Yu Haoyong(Gruangxi Key Lab of Manufactwring System and Advanced Manufactwring Technology,School of Mechanical and Electrical Engineering,Gwilin University of Electrmic Technology,Guilin,Guangxi 541004,China;Department of Biomedical Engineering,National University of Singapore,Singapore 117583,Singapore)

机构地区:[1]桂林电子科技大学机电工程学院广西制造系统与先进制造技术重点实验室,广西桂林541004 [2]新加坡国立大学生物医学工程系,新加坡新加坡117583

出  处:《中国激光》2021年第11期99-111,共13页Chinese Journal of Lasers

Internal Propulsion Algorithm for Extracting Center of LineI saser Stripe

基  金:广西创新驱动发展专项资金(AA18118002-3);广西自然科学基金(2018JJA170110);桂林电子科技大学研究生创新项目(2020YCXB01)。

摘  要:线结构光三维测量系统被广泛应用在物体测量、目标检测和焊接等众多领域,而激光光条中心的提取是该系统的关键技术之一。鉴于此,提出一种新的自适应阈值光条中心提取算法,即内部推进算法。所提算法不仅提取速度快,而且具有较好的精度和鲁棒性。所提算法根据激光光条在图像中的分布特点,通过所提的内部推进方法在光条内部沿光条中心向前或向后推进,避免对图像内不含光条区域的访问,从而提高算法速度。所提算法通过改进的Otsu自适阈值算法在内部推进中不断地更新阈值以计算中心。实验结果表明,所提算法具有提取速度快算法复杂度低、鲁棒性好、精度高和抗噪性良好等优点。

Objective Line-structured light three-dimensional(3D)measurement system is widely used in object measurement,target detection,and other fields.The laser stripe center extraction algorithm is the key technology in the system.The center of robust and uniform laser stripe is easily extracted.However,in many industrial environments,there are some uncertain poor reflection factors,such as dirt and rust on the surface of the measured object and the bad laser emitting quality,leading to the existence of low and uneven brightness areas in the laser stripe images.Compared with the robust region,the pixel value of the robust region is close to 255 and differs greatly from the background pixel value.However,the pixel value of these low and uneven brightness areas is random and uncertain.Thus,it is not easy to select the appropriate pixel threshold accurately using the fixed threshold method.If the threshold is not selected properly,it can easily lead to a bad extraction result.Many existing algorithms cannot easily determine the appropriate pixel threshold in these areas.They tend to cause a larger calculation error and disconnection of the laser stripe centers in these areas.Thus,it is essential to improve the self-adaptability of the center extraction algorithm to solve this problem and improve robustness.At the same time,the complexity of many existing algorithms is high,and redundant scanning for the image region without laser stripe decreases the speed of the algorithms.The laser stripe center calculation is only related to the laser stripe itself and its surrounding pixels.Methods This study proposes an internal propulsion algorithm for laser stripe center extraction.First,according to the distribution characteristics of the laser stripe in the image,the algorithm uses an internal propulsion strategy to plan the search path.The search path moves forward or backward along the center of the stripe to reduce processing image regions without laser stripes;thereby,improving the computational speed of the laser stripe cente

关 键 词:测量 结构光测量 中心提取 激光 内部推进 

measurement structural light measurement center extraction lasers internal propulsion 

分 类 号:TP391[自动化与计算机技术—计算机应用技术]

 

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