An investigation and application of high-speed measurement and precise control based on machine vision

被引:0
作者
Li P. [1 ]
Lei D. [1 ]
Sun X. [1 ]
Li Y. [1 ]
机构
[1] School of Electronic Engineering, Hunan College of Information, Changsha, 410200, Hunan
来源
International Journal of Simulation: Systems, Science and Technology | 2016年 / 17卷 / 04期
关键词
Image positioning; Machine vision; Precise control; Target detecting;
D O I
10.5013/IJSSST.a.17.04.13
中图分类号
学科分类号
摘要
Machine vision inspection is a new detection technology based on computer vision and image processing. It obtains a variety of parameters of work piece’s that can be described by image processing, and gets the parameters understood and judged. It can be applied to the actual testing, measurement and control at the end. It has the features of Non-contact, high accuracy, wide application range and high degree of automation and so on. As machine vision online testing equipment installed in the production line, which detects speed must keep high degree of synchronization with the high-speed production line. The key technology to achieve its high-speed synchronous is precise control of camera and high-speed detection of image. © 2016, UK Simulation Society. All rights reserved.
引用
收藏
页码:13.1 / 13.5
相关论文
共 10 条
[1]  
Narasimhan S.G., Nayar S.K., Chromatic Framework for Vision in Bad Weather, IEEE Conference on 34Hcomputer Vision and Pattern Recognition, 1, (2000)
[2]  
Zhai Y., Zhang Y., Contrast Restoration for Fog-Degraded Images, International Conference on Computational Intelligence and Security, pp. 619-623, (2009)
[3]  
Wei Y., Zhitao X., Qingjie W., Xuan L., A method for improving the definition of scene in fog image, International Conference on Computational Intelligence and Software Engineering, pp. 1-4, (2009)
[4]  
Narasimhan S.G., Nayar S.K., Vision and the atmosphere, IJCV, 48, 3, pp. 233-254, (2002)
[5]  
Zhang Y.J., Gerbrands J.J., Transition Region Determination Based Thresholding, Pattern Recognition Letters, 12, 1, pp. 13-23, (1991)
[6]  
14, 1, (2003)
[7]  
Lee M.-F.R., De Silva C.W., Croft E.A., Jonathan Wu Q.M., Machine Vision System for Curved Surface Inspection Machine Vision and Applications, 12, pp. 177-188, (2000)
[8]  
Chou C.R., Yim J.Z., Huang W.P., Determining the Hydrographic Parameters of the Surface of Water from the Image Sequences of a CCD Camera Experiments in Fluids, 36, pp. 515-527, (2000)
[9]  
Yuekang S., Chang X., An Auto Positioning System Based On Computer Vision, ACTA PHOTONICA SINICA, 29, 10, pp. 899-903, (2000)
[10]  
Sugimoto T., Kawaguchi T., Development of an Automatic Vickers Hardness Testing System Using Image Processing Technology, IEEE Transactionson Industrial Electronics, 44, 5, pp. 696-702, (1997)