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相机检校中标志点的自动提取
引用本文:李国胜,林宗坚,任超锋,彭晓东. 相机检校中标志点的自动提取[J]. 测绘科学, 2010, 35(6): 161-163
作者姓名:李国胜  林宗坚  任超锋  彭晓东
作者单位:中国矿业大学环境与测绘学院,江苏,徐州,221116;中国石油大学地球资源与信息学院,山东,青岛,266555;中国测绘科学研究院,北京,100039;中国测绘科学研究院,北京,100039;中国测绘科学研究院,北京,100039;武汉大学遥感信息工程学院,武汉,4130079
基金项目:十一五国家科技支撑计划项目,863计划重点项目,中国气象局气象新技术推广项目
摘    要:本文针对相机检校中,手工选择标志点速度慢、强度大的缺点,提出了基于边缘提取和形状系数多级约束的方法。首先对图像进行Wallis滤波,并对滤波后的图像采用Canny算子进行边缘提取;然后在八邻域跟踪的基础上,根据边缘长度、边缘首末端点距离、形状系数和光谱信息检测符合条件的标志点边缘。通过实验验证,该方法可提取出92%左右的标志点。

关 键 词:标志点  八邻域跟踪  Wallis  Canny  形状系数

Auto-extraction of mark points on camera calibration
LI Guo-sheng,LIN Zong-jian,REN Chao-feng,PENG Xiao-dong. Auto-extraction of mark points on camera calibration[J]. Science of Surveying and Mapping, 2010, 35(6): 161-163
Authors:LI Guo-sheng  LIN Zong-jian  REN Chao-feng  PENG Xiao-dong
Abstract:Traditional method manually selected marking sign is slow speed and laborious on camera calibration,so a way was proposed based on edge extraction and shape coefficient in the paper.Firstly,Wallis filter was applied to image and edge was extracted based on Canny algorithm to Wallis filtered image.Then,through eight neighborhood track,edge of marking sign was detected based on edge length,distance of x-axis,y-axis of head and end node,shape coefficient and spectral information.The experiment was carried out,92% marking signs were extracted by this way.
Keywords:Wallis  Canny
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