| 基于最优弧的激光光斑中心检测算法 |
| |
| 引用本文： | 曹世康,李东坚,许瑞华,王伟,王拯洲.基于最优弧的激光光斑中心检测算法[J].红外与激光工程,2014,43(10):3492-3496. |
| |
| 作者姓名： | 曹世康 李东坚 许瑞华 王伟 王拯洲 |
| |
| 作者单位： | 1.中国科学院西安光学精密机械研究所,陕西 西安 710119 |
| |
| 摘 要： | 激光光斑中心检测是光学测量中常用的关键技术,广泛应用在光学测量系统、光路自动准直系统、激光通信目标跟踪中。为了提高光斑中心及半径的检测精度和抗干扰性,提出了一种基于最优弧的激光光斑中心检测算法,该算法首先根据圆的对称性排除了受干扰边缘,然后选取对称性好的弧线作为最优弧,最后以最优弧的数据作为拟合数据,利用最小二乘法计算出圆的中心及半径,并与其他算法进行了比较。实验表明,该算法对于中心和半径的定位精度高、计算速度快,并有效地提高了中心检测的抗干扰性,适用于在线实时检测。
|
| 关 键 词： | 激光光斑 圆拟合 最优弧 最小二乘法 图像处理 |
| 收稿时间： | 2014-02-10 |
Algorithm of laser spot detection based on optimal arc |
| |
| Cao Shikang,Li Dongjian,Xu Ruihua,Wang Wei,Wang Zhengzhou.Algorithm of laser spot detection based on optimal arc[J].Infrared and Laser Engineering,2014,43(10):3492-3496. |
| |
| Authors: | Cao Shikang Li Dongjian Xu Ruihua Wang Wei Wang Zhengzhou |
| |
| Affiliation: | 1.Xi'an Institute of Optics and Precision Mechanics,Chinese Academy of Sciences,Xi'an 710119,China |
| |
| Abstract: | Laser spot detection is the key technique used in optical measurement, and widely used in optical measurement system, optical automatic alignment system and laser communication target tracing. In order to improve the optical measurement and anti-interference of spot center and radius, a kind of laser spot center detecting algorithm was put forward based on the optimal arc, according to the symmetry of a circle, the algorithm overcame the interference edges, and then selected the arc with good sysmmetry as the optimal arc to provid the fitting data, calculated center and radius of a circle by using the least squraes method. And it was compared with other commonly used algorithms. Experiments show that the proposed algorithm has high orientation precision for the center and radius, fast speed, and can improve the anti-interference of testing center. The algorithm is suitable for real-time detection. |
| |
| Keywords: | laser spot circle fitting optimal arc least square method(LSM) image processing |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《红外与激光工程》浏览原始摘要信息 |
|
点击此处可从《红外与激光工程》下载全文 |
|
