Error Tracing and Analysis of Vision Measurement System

Author(s):  
Yu Song ◽  
Fei Wang ◽  
Sheng Gao ◽  
Haiwei Yang ◽  
Yongjian He
2019 ◽  
Vol 105 (1-4) ◽  
pp. 1531-1537 ◽  
Author(s):  
Pedro Bastos Costa ◽  
Fabiana Rodrigues Leta ◽  
Felipe de Oliveira Baldner

2012 ◽  
Vol 588-589 ◽  
pp. 1337-1340
Author(s):  
Y.X. Zhu ◽  
X.S. Duan

For the pose measurement of cannon barrel, a vision method through checked plane had been proposed. To test and improve the precision of this new method without considering the hardware error and some other inextricable objective factors,derive the imaging model of the marker (checked plane) from motion model of cannon barrel and the position relative to it using variable-controlling method. Establish the computer simulation platform of vision measurement system for cannon barrel pose based on C++ Builder. The simulation experiment validate the veracity and dependability of this method.


2012 ◽  
Vol 220-223 ◽  
pp. 1311-1314
Author(s):  
Chen Dong ◽  
Shu Guang Dai

As the rapid progress and development of DSP technology, a new way to solve the video signal processing was accepted. At present, binocular measurement instrument are mostly based on image capture card and PC on the market, expensive and bulky. For this problem, binocular vision measurement system based on DSP has been used. The design of elementary program structure about video processing which based on DSP/BIOS was finished and verified for its real-time. The results of the experiment show that the driver can be well used in the system.


2009 ◽  
Vol 29 (6) ◽  
pp. 1546-1551
Author(s):  
徐巧玉 Xu Qiaoyu ◽  
姚怀 Yao Huai ◽  
车仁生 Che Rensheng

2019 ◽  
Vol 48 (5) ◽  
pp. 517005
Author(s):  
张慧娟 Zhang Huijuan ◽  
熊 芝 Xiong Zhi ◽  
劳达宝 Lao Dabao ◽  
周维虎 Zhou Weihu

2019 ◽  
Vol 27 (1) ◽  
pp. 34-44 ◽  
Author(s):  
李云雷 LI Yun-lei ◽  
张 曦 ZHANG Xi ◽  
屠大维 TU Da-wei

2011 ◽  
Vol 291-294 ◽  
pp. 2624-2629 ◽  
Author(s):  
Qing Hua Wu ◽  
Na Dai ◽  
Tao He

A Circle-shape is an important figure in most small rule mechanical parts, and usually be measured to get the radius or used as a stand calibration mark. In this paper, a 2-D circle measurement system for small rule mechanical parts based on machine vision is designed and built. The basic components and work principle of the machine vision measurement system are introduced, and the measurement produce is designed and discussed. An available algorithm for circle contour detected and fitted is described. Using this algorithm, the measurement software flow and architecture are built and the software system realized in the Microsoft visual studio program platform. Certainly, the calibration of machine vision system is introduced also. Using the system and method introduced above, an experiment is designed to measure the outer ring radius of one certain model bearing. The measured data is processed and analyzed. Through the experiment and result, it can be found that the measurement system can get relatively high precision and the measurement method is relatively steady, and the system precision and speed can be suit for the demand of on-line and real-time circle measurement.


2019 ◽  
Vol 68 (10) ◽  
pp. 3563-3575 ◽  
Author(s):  
Zhen Liu ◽  
Suining Wu ◽  
Qun Wu ◽  
Chenggen Quan ◽  
Yiming Ren

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