COMPUTER VISION BASED SORTING OF ATLANTIC SALMON (SALMO SALAR) ACCORDING TO SIZE AND SHAPE

Ekrem Misimi, John R. Mathiassen, Ulf Erikson, Amund Skavhaug

Abstract

Intensive use of manual labour is necessary in the majority of operations in today’s fish processing plants, incurring high labour costs, and human mistakes in processing, evaluation and assessment. Automatization of processing line operations is therefore a necessity for faster, low-cost processing. In this paper, we present a computer vision system for sorting Atlantic salmon according to size and shape. Sorting is done into two grading classes of salmon: “Production Grade” and “Superior/Ordinary Grade”. Images of salmon were segmented into binary images, and then feature extraction was performed on the geometrical parameters to ensure separability between the two grading classes. The classification algorithm was a threshold type classifier. We show that our computer vision system can be used to evaluate and sort salmon by shape and deformities in a fast and non-destructive manner. Today, the low-cost of implementing advanced computer vision solutions makes this a real possibility for replacing manual labour in fish processing plants.

References

  1. 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, 657-671.
  2. Brosnan, T., Sun, W. D., 2002. "Inspection and grading of agricultural and food products by computer vision systems--a review." Computers and Electronics in Agriculture 36(2-3), 193-213.
  3. Gunasekaran, S., 2001. In: Nondestructive Food Evaluation Techniques to Analyze Properties and Quality.Marcel Dekker, New York.
  4. Gunnlaugsson, G.A. 1997. Vision technology: intelligent fish processing systems. In: Seafood from producer to consumer, integrated approach to quality (Eds. J.B. Luten, T. Børresen and J. Oehlenschläger), Elsevier Science B.V., 351-359.
  5. HVDUO-5M, HanVision CO, Korea, Retrieved from
  6. http://www.alt-vision.com/documentation/8208-0004-11- 00%20HVDUO-5M%20PD.pdf
  7. Jia, P., Evans, M.D. and Ghate, S.R. 1996. Catfish feature identification via computer vision. Transactions of the ASAE 39, 1223-1931.
  8. Theodoridis, S., Koutroumbas, K., 2003. Pattern Recognition,Academic Press, San Diego, 2nd edition..
  9. Pau, L. F., Olafsson, R., 1991. Fish Quality Control by Computer Vision. New York, Marcel Dekker, 23-38.
  10. Strachan, N.J.C. and Murray, C.K. 1991. Image analysis in the fish and food industries. In: Fish quality control by computer vision (Eds. L.F. Pau and R. Olafsson), M. Dekker, New York, 209-223.
  11. Strachan, N.J.C. 1993. Recognition of fish species by colour and shape. Image Vision and Computing 11, 2- 10.
  12. Wagner, H., Schmidt, U. and Rudek, J.H. 1987. Zur Artenunterscheidung von Seefischen. Lebensmittelindustrie 34, 20-23.
  13. Walkott, A. P., 1996. Object recognition using colour, shape and affine invariant ratios. In BMVC96, Edinburgh, Scotland, 273-282.
  14. Zion, B. Shklyar, A. and Karplus, I. 1999 Sorting fish by computer vision. Computers and Electronics in Agriculture 23, 175-187.
Download


Paper Citation


in Harvard Style

Misimi E., R. Mathiassen J., Erikson U. and Skavhaug A. (2006). COMPUTER VISION BASED SORTING OF ATLANTIC SALMON (SALMO SALAR) ACCORDING TO SIZE AND SHAPE . In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, ISBN 972-8865-40-6, pages 265-270. DOI: 10.5220/0001370002650270


in Bibtex Style

@conference{visapp06,
author={Ekrem Misimi and John R. Mathiassen and Ulf Erikson and Amund Skavhaug},
title={COMPUTER VISION BASED SORTING OF ATLANTIC SALMON (SALMO SALAR) ACCORDING TO SIZE AND SHAPE},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},
year={2006},
pages={265-270},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001370002650270},
isbn={972-8865-40-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - COMPUTER VISION BASED SORTING OF ATLANTIC SALMON (SALMO SALAR) ACCORDING TO SIZE AND SHAPE
SN - 972-8865-40-6
AU - Misimi E.
AU - R. Mathiassen J.
AU - Erikson U.
AU - Skavhaug A.
PY - 2006
SP - 265
EP - 270
DO - 10.5220/0001370002650270