Fixed Viewpoint Imaging and Correction Model of Liquid Column Manometer

Su Mei Dai

doi:10.4028/www.scientific.net/AMR.317-319.905

Paper Titles

Study on a Method for Measuring the Attitude of Protable Three-Coordinate Equipment Based on Monocular Vision
p.886

Research on Underwater Target Tracking Based on Contour Detection
p.890

A Novel Illumination Compensation Method Using Wavelet Packet Transformation
p.897

Handwritten Digit Recognition Based-on Bernoulli Mixtures
p.901

Fixed Viewpoint Imaging and Correction Model of Liquid Column Manometer
p.905

Applications of Visible and near-Infrared Hyperspectral Imaging for Non-Destructive Detection of the Agricultural Products
p.909

The Finite Ridgelet Transform for Defeat Detection of Quill
p.915

The Application of Fast Moving Target Detection Technology in Hanger Intelligent Surveillance System
p.919

Development on Inspection System for Gear’s Dimension Based on Machine Vision
p.925

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 317-319Fixed Viewpoint Imaging and Correction Model of...

Fixed Viewpoint Imaging and Correction Model of Liquid Column Manometer

Abstract:

Liquid column manometers are widely used in fluid mechanics experiments, so the design and implementation of a remote experimental setup for performing experiments on fluid mechanics, the on-line reading of liquid column manometer is necessary. Firstly, through comparing computer vision reading with manual reading, the former accuracy is much higher in the ideal case. Secondly, computer vision based reading scheme is confirmed according to the experimental progress. Then, the imaging geometric model of manometer is approximated by pin-hole imaging model. While the vertical relationship between camera viewpoint and liquid level is changed, for reducing the imaging error, view fixed reading with software algorithm is discussed to correct the identified water head. Lastly, according to the proportional relations between invariable inside diameter of manometer and water head image, the upper boundary line coordinate value is determined. The experimental results show that the method is effective and feasible.

You might also be interested in these eBooks

Equipment Manufacturing Technology and Automation

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 317-319)

Pages:

905-908

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.317-319.905

Citation:

Cite this paper

Online since:

August 2011

Authors:

Su Mei Dai

Keywords:

Computer Vision, Correction Model, Fixed Viewpoint, Liquid Column Manometer

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] A. Melkonyan, D. Akopian, and C. L. P. Chen, Work in Progress - Real-Time Remote Internet-Based Communication Laboratory. 39th ASEE/IEEE Frontiers in Education Conference. October 18 - 21, 2009, San Antonio, TX.

DOI: 10.1109/fie.2009.5350825

Google Scholar

[2] E.Tanyildizi, A.Orha, A virtual electric machine laboratory for synchronous machine application. Computer Applications in Engineering Education. Vol. 17(2009), pp.187-195

DOI: 10.1002/cae.20133

Google Scholar

[3] Joseph H. Spurk, in: Fluid mechanics, edtied by World Scientific Publishing Company, Beijing, 2001.

Google Scholar

[4] Sumei Dai, Tao Jiang, Ruiqing Jia. Image recognition method of liquid column manometer readings. International Conference on Multimedia Technology (ICMT),Oct.29-31, 2010, Ningbo.

DOI: 10.1109/icmult.2010.5630857

Google Scholar

[5] Basic Imaging on http://www.willbell.com/AIP/haip2_chap_1.pdf.

Google Scholar