Machine Vision and Applications

Yong Wang; Hui Guo

doi:10.4028/www.scientific.net/AMM.457-458.1377

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A New Method Based on Position Sensitive Detectors to Measure Spatial Angle of Large-Scale Gyroidal
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The Application of the UPFC in Power System
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Machine Vision and Applications
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Research on Computer Controlled Optical Surfacing (CCOS) Working Function at Wear State
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Design of Embedded Controller with Flexible Programming for Industrial Robot
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Design of Brushless DC Motor Controller Based on DSP
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 457-458Machine Vision and Applications

Machine Vision and Applications

Abstract:

With the development of modern industry, manual labor has been far from meeting the needs of modern industry. In recent years,with the development of artificial intelligence algorithms and other related field. Machine vision has been applied in a wide field of industry. An overview of key machine vision system, and demonstrates some machine vision applications will be proposed in this paper.

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Periodical:

Applied Mechanics and Materials (Volumes 457-458)

Pages:

1377-1380

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.457-458.1377

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Online since:

October 2013

Authors:

Yong Wang*, Hui Guo

Keywords:

Artificial Intelligence Algorithms, Industry Applications, Machine Vision

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References

[1] Paul G. Ranky, Advanced machine vision systems and application examples, Sensor Review. 23 (2003) 242-245.

DOI: 10.1108/02602280310481869

Google Scholar

[2] Christine Connolly, Machine vision developments, Sensor Review. 26(2006)277-282.

Google Scholar

[3] Don Braggins, Illumination for machine vision, Sensor Review. 20(2000)20-23.

Google Scholar

[4] Information on http: /www. machinevisiononline. com.

Google Scholar

[5] M. Born,E. Wolf, Principles of Optics, Seven ed., Cambridge University Press, Cambridge, (1999).

Google Scholar

[6] K. Lenhardt, Optical system in machine vision, In A. Hornberg, editory, handbook of machine vision, Wiley-VCH, Weinhiem, (2006).

Google Scholar

[7] G. C. Holst, CCD Arrays, Cameras, and Displays, two ed., SPIE Press, Bellingham, (1998).

Google Scholar

[8] A. El Gamal, H. Eltoukhy, CMOS image sensors, IEEE circuits and devices magazine. 21(2005)6-20.

DOI: 10.1109/mcd.2005.1438751

Google Scholar

[9] H. Golnabi, A. Asadpour, Design and application of industrial machine vision systems. 23(2007)630-637.

DOI: 10.1016/j.rcim.2007.02.005

Google Scholar

[10] Malamas, E.N., Petrakis, E.G.M., Zervakis, M. Petie, L and Legat, L-D, A survey on industrial vision systems, Applications and Tools Image and Vision Computing, Amsterdam. 21(2003)171-188.

DOI: 10.1016/s0262-8856(02)00152-x

Google Scholar

[11] Derganc, J., Likar, B. And Pernus, F, A machine vision system for measuring the eccentricity of bearings , Computers in industry. 50(2003)103-111.

DOI: 10.1016/s0166-3615(02)00141-0

Google Scholar