scholarly journals Random and Systematic Errors Correction of Micron-sized Machine Vision Measurement System

Author(s):  
Zhao Wenhui ◽  
Duan Zhenyun ◽  
Zhao Wenzhen
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.


2012 ◽  
Vol 562-564 ◽  
pp. 1340-1343
Author(s):  
Kai Niu ◽  
Hui Yu Xiang ◽  
Jia Liu ◽  
Bao An Han

In recent years, with the research intensity of machine vision in universities are increased ceaselessly, the achievement in machine vision’ field is gradually applied to all walks of life. This paper mainly discusses how the theory of machine vision applied in the practical measurement, and develops the overall measurement platform. Through the program operating in the computer, finally realizes the control of platform operation. It can collect multiple images; what’s more realize image processing and world coordinate calculation, providing a platform for the future research and application.


2008 ◽  
Author(s):  
Ruwen Chen ◽  
Ren Huang ◽  
Zhisheng Zhang ◽  
Jinfei Shi ◽  
Zixin Chen

Author(s):  
J. A. Senn ◽  
J. P. Mills ◽  
P. E. Miller ◽  
C. Walsh ◽  
S. Addy ◽  
...  

Abstract. UAS imagery has become a widely used source of information in geomorphic research. When photogrammetric methods are applied to quantify geomorphic change, camera calibration is essential to ensure accuracy of the image measurements. Insufficient self-calibration based on survey data can induce systematic errors that can cause DEM deformations. The typically low geometric stability of consumer grade sensors necessitates in-situ calibration, as the reliability of a lab based calibration can be affected by transport. In this research a robust on-site workflow is proposed that allows the time-efficient and repeatable calibration of thermal and optical sensors at the same time. A stone building was utilised as calibration object with TLS scans for reference. The approach was applied to calculate eight separate camera calibrations using two sensors (DJI Phantom 4 Pro and Workswell WIRIS pro), two software solutions (Vision Measurement System (VMS) and Agisoft Metashape) and two different subsets of images per sensor. The presented results demonstrate that the approach is suitable to determine camera parameters for pre-calibrating photogrammetric surveys.


Measurement ◽  
2016 ◽  
Vol 82 ◽  
pp. 345-354 ◽  
Author(s):  
Yaoyu Ding ◽  
Xuebiao Zhang ◽  
Radovan Kovacevic

2021 ◽  
Vol 2023 (1) ◽  
pp. 012052
Author(s):  
Ruishuang Bai ◽  
Nan Jiang ◽  
Le Yu ◽  
Jinyang Zhao

2016 ◽  
Vol 28 (4) ◽  
pp. 381-387 ◽  
Author(s):  
Liangxing Shi ◽  
Haijia Ren ◽  
Jianrong Wang ◽  
Zhen He

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