摘要
在检定气泡水平仪的过程中,为减少人眼读数带来的误差和降低人工劳动强度,本文使用基于图像处理的方法对刻度线和水泡位置进行识别,使用颜色识别和形态学滤波等方法对水平仪刻度范围进行处理。同时利用曲线保存与估计的方法,对刻度线遮挡住的水平边缘位置进行准确提取,提高了检定精度。
In the process of verifying air-bubble level, in order to reduce the error caused by human eye reading and reduce the labor intensity, this paper uses the method based on image processing to identify the scale line and bubble position, and uses the methods of color recognition and morphological filtering to process the scale range of the level.At the same time, the method of curve preservation and estimation is used to accurately extract the position of the horizontal edge blocked by the scale line, so as to improve the verification accuracy.
作者
马婷婷
黄杨清
袁筱东
MA Tingting;HUANG Yangqing;YUAN Xiaodong
出处
《计量与测试技术》
2022年第10期7-9,共3页
Metrology & Measurement Technique
基金
广东省市场监督管理局科技项目(项目名称:基于机器视觉与机器学习的水平仪智能校准装置的研制,项目编号:2020CJ01)。
关键词
气泡水平仪
颜色识别
形态学滤波
图像处理
air-bubble level
color recognition
morphological filtering
image processing
