摘要
针对存在端面缺损的圆柱设计了一种新的直径测量方法,通过查找圆边界点以及对边界点进行众数筛选来完成对圆边界的提取和拟合,最终完成直径的精确测量.实验结果表明,该测量方法不仅能够精确检测正常端面的圆柱尺寸,同时也能够精确测量端面存在缺损的圆柱尺寸,测量结果可达到微米量级,适用性强且效率高.
To detect the defective cylinder accurately, a new diameter detecting method was proposed. The circular boundary was extracted and fitted by finding the circular boundary points, the mode selection of the boundary points, and the diameter accurate measurement in the end. The testing results showed that the method could detect not only the normal cylindrical parts accurately, but also the defective cylinders. The method demonstrated good applicability, high efficiency, and the measurement precision up to micron-scale.
作者
张斌
李慧娴
刘丹
李峰宇
宋文豪
杨腾达
ZHANG Bin;LI Huixian;LIU Dan;LI Fengyu;SONG Wenhao;YANG Tengda(School of Physics and Engineering,Zhengzhou University,Zhengzhou 450001,China)
出处
《郑州大学学报（理学版）》
CAS
北大核心
2018年第4期70-74,100,共6页
Journal of Zhengzhou University:Natural Science Edition
基金
国家自然科学基金项目(81171410)
关键词
机器视觉
尺寸测量
众数筛选
Kasa算法圆拟合
machine vision
dimension measuring
mode selection
Kasa algorithm circle fitting
