摘要
为了降低检测成本及避免人为误差,开发了一种基于机器视觉的金刚石原石检测系统。通过图像处理检测金刚石的尺寸、形态与颜色信息,并生成可以自由视角显示的金刚石原石三维模型。结果表明:本系统对原石形态与颜色的检测操作简单,尺寸检测的比例尺精度为0.5μm,图元的测量精度在微米级,并可减少检测成本和人为误差。
In order to reduce the detection cost and avoid human error,a diamond rough detection system based on machine vision is developed.The information of size,shape and color of diamond is detected by image processing,and a three-dimensional model of diamond raw stone which can be displayed from a free perspective is generated.The results show that the system is easy to operate in shape and color detection,the scale accuracy of size detection is 0.5μm and the measurement accuracy of graphic is in the micron level,which can reduce the detection cost and human error.
作者
石广丰
王雪
王淑坤
郭丰杰
于大伟
SHI Guangfeng;WANG Xue;WANG Shukun;GUO Fengjie;YU Dawei(College of Mechanical and Electrical Engineering,Changchun University of Science and Technology,Changchun 130022,China)
出处
《金刚石与磨料磨具工程》
CAS
北大核心
2019年第6期7-12,共6页
Diamond & Abrasives Engineering
基金
吉林省科技厅计划项目(20190302123GX,No20180414068GH,No.20170101124JC)
国家自然科学基金(No.51575057)
关键词
金刚石原石
机器视觉
图元
检测
diamond raw stone
machine vision
graphic
detection
