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自动全站仪的棱镜光斑图像识别算法研究
引用本文:陈继华,闫东方,郭文松,李响.自动全站仪的棱镜光斑图像识别算法研究[J].测绘科学技术学报,2015(3):261-265.
作者姓名:陈继华  闫东方  郭文松  李响
作者单位:1. 郑州大学 物理工程学院,河南 郑州,450001;2. 重庆三峡学院 计算机科学与工程学院,重庆,404100
基金项目: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)。
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。

关 键 词:自动全站仪  棱镜  光斑图像  圆形度  几何特征

Research on Recognizing and Centroid Algorithm for Image Blobs of Reflector Light Echo
CHEN Jihua , YAN Dongfang , GUO Wensong , LI Xiang.Research on Recognizing and Centroid Algorithm for Image Blobs of Reflector Light Echo[J].Journal of Zhengzhou Institute of Surveying and Mapping,2015(3):261-265.
Authors:CHEN Jihua  YAN Dongfang  GUO Wensong  LI Xiang
Abstract:When an Auto Total Station( ATS) is aiming at a prism, it emits a bundle of infrared light, an image in-cluding 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 coordi-nates. 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.
Keywords:Auto Total Station  prism  image blob  degree of circularity  geometric configuration
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