图像识别在静电场描绘实验中的应用
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  • 英文篇名:Application of image recognition in the experiment of depicting electrostatic field
  • 作者:何小风
  • 英文作者:HE Xiao-feng;Department of Physical Science and Technology,Wuhan University of Technology;
  • 关键词:图像识别 ; OpenCV ; 静电场 ; 等势线
  • 英文关键词:image recognition;;OpenCV;;electrostatic field;;equipotential line
  • 中文刊名:WLSL
  • 英文刊名:Physics Experimentation
  • 机构:武汉理工大学物理科学与技术系;
  • 出版日期:2019-06-20
  • 出版单位:物理实验
  • 年:2019
  • 期:v.39;No.346
  • 语种:中文;
  • 页:WLSL201906005
  • 页数:4
  • CN:06
  • ISSN:22-1144/O4
  • 分类号:30-32+37
摘要
在静电场描绘实验中,由于实验得到的电势点较多,对实验数据评价较为不便,为此,设计了利用OpenCV的函数获取图中所有电势点的坐标,经过计算即可得到各等势圆半径的测量值,再计算出相对偏差,既可以给出图形的整体评分.
        The experiment of depicting electrostatic field produces a paper with lots of dots in it,which is inconvenient for teachers to evaluate the students' operation.A computer program was developed with OpenCV in this paper.The coordinates of all dots in the picture were got with OpenCV's functions.The radiuses of every equipotential circle could be computed.Using the measured value and the theoretical value of the radius of every equipotential circle,the relative errors were computed.Finally,the grade of the picture could be given.
引文
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