摘要
自动全站仪发射一束红外光,经棱镜反射返回全站仪,由全站仪内置相机采集回光图像,通过获取回光光斑中心的图像坐标,求解全站仪照准棱镜时的偏移值,依据偏移值驱动全站仪自动瞄准棱镜目标。棱镜回光光斑的自动识别与中心定位是实现自动全站仪精确瞄准目标的关键技术之一。提出一种棱镜回光光斑图像的自动识别与中心定位算法,分析了光斑图像的亮度、边界形状等特征,设计了光斑识别与中心定位算法。实验结果表明,所提出的算法准确、有效。
When an Auto Total Station（ ATS） is aiming at a prism, it emits a bundle of infrared light, an image including light echo blobs from prism is collected by the embedded camera in ATS. If the image coordinates of blob centroid are computed, the offset between ATS＇collimation axis and prism can be derived from the blob coordinates. Then, ATS will be driven to point the prism according to the offset value automatically. The recognizing and centroid algorithm for image blobs is a key technology for ATS auto aiming at a prism. A new algorithm for image blob recognized and centred, based on the characters of blob grey and geometric configuration, is presented in this thesis. Actual experiment results show that, the presented algorithm is accurate and effective.
出处
《测绘科学技术学报》
CSCD
北大核心
2015年第3期261-265,共5页
Journal of Geomatics Science and Technology
基金
国家自然科学基金项目(41171325
J1103408)
新世纪优秀人才支持计划项目(NCET-12-0264)
关键词
自动全站仪
棱镜
光斑图像
圆形度
几何特征
Auto Total Station
prism
image blob
degree of circularity
geometric configuration
