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ACTA Universitatis Cibiniensis

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Industrial Applications of Image Processing

Radu Adrian Ciora / Carmen Mihaela Simion
Published Online: 2014-12-30 | DOI: https://doi.org/10.2478/aucts-2014-0004


The recent advances in sensors quality and processing power provide us with excellent tools for designing more complex image processing and pattern recognition tasks. In this paper we review the existing applications of image processing and pattern recognition in industrial engineering. First we define the role of vision in an industrial. Then a dissemination of some image processing techniques, feature extraction, object recognition and industrial robotic guidance is presented. Moreover, examples of implementations of such techniques in industry are presented. Such implementations include automated visual inspection, process control, part identification, robots control. Finally, we present some conclusions regarding the investigated topics and directions for future investigation

Keywords : image processing; computer vision; industrial engineering; automated visual inspection


  • Bhandarkar, S.M., Faust, T. D., Tang, M. “CATALOG: A System for Detection and Rendering of Internal Log Defects Using Computer Tomography,” Machine Vision and Applications, vol. 11, pp. 171-190, 1999 Google Scholar

  • Brosnan, T., Sun D.W. (2004) Improving quality inspection of food products by computer vision- -a review, Journal of Food Engineering, 61, p. 3-16 CrossrefGoogle Scholar

  • Chaki, A and Chattopadhyay, T (2009) An Automatic Decision Support System for Medical Instrument Suppliers Using Fuzzy Multifactor Based Approach. The fifth annual IEEE Conference on Automation Science and Engineering (IEEE CASE 2009), 8,p. 158-163 Google Scholar

  • Chattopadhyay, T, et al. (2008). An Application for Retrieval of Frames from a Laparoscopic Surgical Video Based on Image of Query Instrument. TENCON 2008, IEEE Region 10 Conference, 11, p. 1-5 Google Scholar

  • Chattopadhyay, T. (2012) Applications of Image Processing in Industries, CSI Communications, July 2012, p. 8-11 Google Scholar

  • Davies, E.R. (2012) Computer and Machine Vision, 4th Edition: Theory, Algorithms, Practicalities Google Scholar

  • Golnabi, H. (2007) Design and application of industrial machine vision systems, Robotics and Computer-Integrated Manufacturing, 23,p. 630-637 Web of ScienceGoogle Scholar

  • Jamieson, V. (2002) Physics raises food standards, Physics World, 1, p. 21,22 Google Scholar

  • Kim, S., Schatzki, T.F. (2000) Apple watercore sorting using X-ray imagery: I. Algorithm development. Transactions of the ASAE, 43 (6), p. 1695-1702 CrossrefGoogle Scholar

  • Kondo, N., Ahmada, U., Montaa, M., Muraseb, H. (2000) Machine vision based quality evaluation of Iyokan orange fruit using neural networks. Computers and Electronics in Agriculture, 29 (1-2), p. 135-147 CrossrefGoogle Scholar

  • Majumdar, S, Jayas, D.S. (2000) Classification of cereal grains using machine vision: IV. Combined morphology, colour, and texture models. Transactions of the ASAE, 43(6), p. 1689-1694 CrossrefGoogle Scholar

  • Malamas, E.N. (2003) A survey on industrial vision systems, applications and tools, Image and Vision Computing, 21 (2), p. 171-188 CrossrefGoogle Scholar

  • Mas, E.S. (2008) Detection and Quantification of Soft plaque in coronary arteries from MSCT images, Final Report Google Scholar

  • Sun, D.W. (2000) Inspecting pizza topping percentage and distribution by a computer vision method. Journal of Food Engineering, 44, p. 245-249CrossrefGoogle Scholar

About the article

Published Online: 2014-12-30

Published in Print: 2014-11-01

Citation Information: ACTA Universitatis Cibiniensis, Volume 64, Issue 1, Pages 17–21, ISSN (Online) 1583-7149, DOI: https://doi.org/10.2478/aucts-2014-0004.

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© 2015. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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