摘要
针对复杂背景环境下蓝色线结构光测量系统中如何准确快速地提取出光带中心的问题,根据线结构光中像素的蓝色分量在RGB三基色中的比重以及光带中心两边灰度分布特性,提出了一种基于区域重心法的线结构光中心快速亚像素提取算法.该算法运用自适应阈值法确定光带边界阈值,采用平滑处理降低光带非正态分布对光带中心提取的影响,应用区域重心法进行光带中心的亚像素提取,最后采用连通区域法剔除错误的光带中心.实验结果表明,该算法具有较高的稳定性、良好的抗噪性、较强的鲁棒性.
Aiming at extracting the center position of light stripe accurately and efficiently in blue linear structured light measurement system in the complex background, a method which extracts sub-pixel center position of light stripe was proposed. According to the proportion of blue component in RGB and the property of the light stripes' intensity gradient. The method uses adaptive threshold method to obtain the light stripe's gray edge, it applies filter to decrease the error caused by non-normal distribution of strip intensity, and extracts the sub-pixel center position of light stripe by region barycenter, then rejects the error center position of light strip by connected region method. The experiment results proved that the algorithm has higher precision and stability, good noise immunity, robustness.
出处
《计算机系统应用》
2014年第6期111-117,共7页
Computer Systems & Applications
基金
桂林市科学研究与技术开发课题(20130122-2)
关键词
线结构光
区域重心法
亚像素
连通区域法
linear structured light
region barycenter method
sub-pixel
connected region method