Skip to main content
SpringerLink
Log in

Fish processing using computer vision and robots

  • Chapter
Book cover Robotics in Meat, Fish and Poultry Processing

Abstract

The fishing and fish product industries worldwide are facing tremendous challenges from higher health testing requirements as well as overriding manpower costs and increased unavailability. This chapter describes the main automation possibilities in these industries focusing on the use of computer vision and robots. The advantages and disadvantages of applying these technologies in the fishing industry are highlighted. The specific implementation context, performance required, optical and physical characteristics of fish species, as well as environmental aspects are stressed. New applications and the technological needs of fish sorting, handling and inspection are discussed. Section 2.4 lists the main robotic and vision systems available to the fishing industry today. Finally future potentials in the fishing industry are discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Arnarson, H. (1990) Fish sorting using computer vision, PhD report LD 78, EMI, Technical University of Denmark.

    Google Scholar 

  • Arnarson, H. and Pau, L. F. (1991) Shape classification in computer vision by the syntactic, morphological and neural processing technique PDL-HM, in: Proceedings of ESPRIT- BRA Workshop on Specialized Processors for Real Time Image Analysis, Barcelona, Spain.

    Google Scholar 

  • Arnarson, H., Bengoetxea, K. and Pau, L. F. (1988) Vision applications in the fishing and fish product industries, International Journal of Pattern Recognition and Artificial Intelligence 2: 657–673.

    Article  Google Scholar 

  • Ásgeirsson, Á. (1991) MSEE Thesis report, University of Washington.

    Google Scholar 

  • Baader (1990) Product Information, Lubeck, Germany.

    Google Scholar 

  • Batchelor, B. G., Hill, D. A. and Hodgson, D. C. (1985) Automated Visual Inspection, IFS, Bedford, UK.

    Google Scholar 

  • Bengoetxea, K. (1988) Lighting setup in the automatic detection of ventral skin and blood spots in cod fish fillets, Report No. 497 EMI, Technical University of Denmark.

    Google Scholar 

  • Bretschi, J. (1981) Automated Inspection Systems for Industry, IFS, Bedford, UK.

    Google Scholar 

  • Buckingham, R. O., Brett, P. N. and Khodabandehloo, K. (1991) Analysis for two arm robots for applications in manufacturing industry, Proc. I. Mech. E. part B, vol. 205, pp. 43–50.

    Article  Google Scholar 

  • Codex Standards (1981) Cod and Haddock, STAN. 50–1981.

    Google Scholar 

  • Design System (1986) Product Information, Seattle, USA.

    Google Scholar 

  • Fukunaga, K. (1972) Introduction to Statistical Pattern Recognition, Academic Press, New York, pp. 260–267.

    Google Scholar 

  • Grove Telecommunication (1989) Product Information, Halifax, Canada.

    Google Scholar 

  • Hafsteinsson, H. and Rizvi, S. S. H. (1987) Journal of Food Protection 50: 70–84.

    Google Scholar 

  • Hawley, D. L. (1988) Final report: fish parasite research, Federal grant No. NA-85- ABH-00057, USA.

    Google Scholar 

  • Heldbo, J. (1989) Information teknologi og Productionsstyring i Konsumfiske industrien, PhD Report, EF201, Technical University of Denmark (in Danish).

    Google Scholar 

  • Huss, H. H., Sigsgaard, P. and Jensen, S. A. (1984) Fluorescence of fish bones, Journal of Food Protection 48: 393–396.

    Google Scholar 

  • Krueger, K. (1991) Can robots handle prawn, Journal of Australian Fisheries.

    Google Scholar 

  • Lumitech (1988) Product Information, Copenhagen, Denmark.

    Google Scholar 

  • Marel H/F (1989) Product Information, Reykjavik, Iceland.

    Google Scholar 

  • Muus, B J. and Dahlsrom, (1974) Collins Guide to the Sea Fishes of Britain and Northwestern Europe, Collins, London.

    Google Scholar 

  • Novini, A. (1986) Fundamentals of machine vision lighting, Proceedings of SPIE 728: 84–92.

    Google Scholar 

  • Otsu, N. (1979) A threshold selection for gray-level histograms, IEEE Transactions on System, Man and Cybernetics 9: 62–66.

    Article  Google Scholar 

  • Pau, L. F. (1988) Sensor data fusion, Journal of Intelligent and Robotic Systems 1: 103–116.

    Article  Google Scholar 

  • Pau, L.F. and Olafsson, R. (eds.) (1991) Fish Quality Control by Computer Vision, Marcel Dekker, New York.

    Google Scholar 

  • Pétursson, J. (1991) Optical spectra of fish flesh and quality defects in fish, in: L. F. Pau and R. Olafsson (eds.), Fish Quality Control by Computer Vision, Marcel Dekker, New York, pp. 45–70.

    Google Scholar 

  • Piirononen, T. (1991) Evaluation of illumination methods for machine vision applications in the fish industry, in: L. F. Pau and R. Olafsson (eds.), Fish Quality Control by Computer Vision, Marcel Dekker, New York.

    Google Scholar 

  • Poussard, D. and Laurendeau, D. (1988) 3-D sensing for industrial computer vision, in: J. L. C. Sanz (ed.), Advances in Machine Vision, Springer, New York.

    Google Scholar 

  • Pulsar (1990) Product Information, Eindhoven, The Netherlands.

    Google Scholar 

  • Spratt, M.D. (1991) Preliminary results of computer imaging systems applied to estimating the quantity of larvae and fingerling fish for aquaculture, in: L. F. Pau and R. Olafsson (eds.), Fish Quality Control by Computer Vision, Marcel Dekker, New York.

    Google Scholar 

  • Strachan, N. J. C. and Murray, C. K. (1991) Image analysis in the fish and food industries, in: L. F. Pau and R. Olafsson (eds.), Fish Quality Control by Computer Vision, Marcel Dekker, New York.

    Google Scholar 

  • Storbeck, F. and Daan, B. (1991) Weight estimation of flatfish by means of structured light and image analysis, Fisheries Research 11: 99–108.

    Article  Google Scholar 

  • Tayama, I., Shimdate, M., Kubuta, N. and Nomura, Y. (1982) Application for optical sensor to fish sorting, Reito (Tokyo), Refrigeration 57: 1146–1150.

    Google Scholar 

  • Vaki H/F (1988) Product Information, Reykjavik, Iceland.

    Google Scholar 

  • Valdimarsson, G. (1991) Developments in fish processing, in Proceedings of the Conference on Quality Assurance in the Fish Industry, Lyngby, Denmark.

    Google Scholar 

  • Wagner, H., Schrnidt, U. and Rudek, J. H. (1987) Distinction between species of sea fish, Lebensmittel Industrie 34: 20–23.

    Google Scholar 

  • Weszka, J. S. (1978) A survey of threshold selection techniques, Computer Graphics and Image Processing 7: 259–265.

    Article  Google Scholar 

  • Wong, A. K. C. (1977) Knowledge representation for robot vision and path planning using attributed graphs and hypergraphs, in: A. K. C. Wong and A. Pugh (ed.), Machine Intelligence and Knowledge Engineering for Robitic Applications, Springer-Verlag, New York.

    Google Scholar 

Download references

Authors
  1. H. Arnarson
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. K. Khodabandehloo
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. University of Bristol, UK

    K. Khodabandehloo (Director of Advanced Manufacturing and Automation Research Centre and Reader in Manufacturing) (Director of Advanced Manufacturing and Automation Research Centre and Reader in Manufacturing)

Rights and permissions

Reprints and permissions

Copyright information

© 1993 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Arnarson, H., Khodabandehloo, K. (1993). Fish processing using computer vision and robots. In: Khodabandehloo, K. (eds) Robotics in Meat, Fish and Poultry Processing. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2129-7_2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4615-2129-7_2

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5888-6

  • Online ISBN: 978-1-4615-2129-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation