Machine Vision Based-2D Measurement Method for Industrial Glass

被引:0
作者
Zhou, Chen [1 ,2 ,3 ]
Hong, Hanyu [1 ,2 ,3 ]
Zhang, Xiuhua [1 ,2 ]
Zhao, Shuhan [1 ,2 ,3 ]
Chen, Pan [1 ,2 ,3 ]
机构
[1] Wuhan Inst Technol, Hubei Key Lab Opt Informat & Pattern Recognit, Wuhan 430205, Peoples R China
[2] Wuhan Inst Technol, Hubei Engn Res Ctr Video Image & HD Project, Wuhan 430205, Peoples R China
[3] Wuhan Inst Technol, Sch Elect & Informat Engn, Wuhan 430205, Peoples R China
来源
MIPPR 2019: PATTERN RECOGNITION AND COMPUTER VISION | 2020年 / 11430卷
基金
中国国家自然科学基金;
关键词
Machine vision; Image processing; Two-dimensional measurement; EDGE;
D O I
10.1117/12.2539408
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In order to achieve high efficiency, automatic and accurate measurement, the paper takes the two-dimensional measurement of industrial glass under the experimental conditions.The main contents of this paper includes: Analyzing the structure and hardware performance parameters of the system, building a measuring platform including computer, Charge-coupled Device image sensor, lens, etc, using high-precision camera to take the image of glass, preprocessing of glass image data and acquiring edge information of glass. The system use second filtering method to filter the image and Canny operator to acquire the edge of the industry glass, transforming computer coordinate system into world coordinate system through coordinate transformation method, and finally calculate the two-dimensional size information of industrial glass.The system measures the two-dimensional length and width of polygonal glass, the experimental results show that the measurement method in this paper meet the accuracy requirements of general industrial measurement, and the detection system is feasible.
引用
收藏
页数:7
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