摘要
在智能制造过程中,机器视觉的应用越来越多,其中特征提取是机器视觉的重要组成部分。为实现物体在三维运动中的圆特征提取,本文设计了针对一般情况下的特征提取以及优化算法,利用自润滑关节轴承的三维运动实验来分析论证,结果令人满意。特征提取结果为三维运动估计提供支持。
In the process of intelligent manufacturing,there are more and more applications of machine vision,among which feature extraction is an important part of machine vision. In order to realize the extraction of circular features of objects in three-dimensional motion,this paper designs a general feature extraction and optimization algorithm,and USES the three-dimensional motion experiment of self-lubricating joint bearings to analyze and demonstrate,the results are satisfactory. Feature extraction results provide support for 3 D motion estimation.
作者
束敏
李宝福
Shu Min;Li Baofu
出处
《计量与测试技术》
2018年第8期38-41,共4页
Metrology & Measurement Technique
关键词
机器视觉
三维运动
圆特征提取
椭圆检测
machine vision
three dimensional motion
extraction of circular features
ellipse detection
