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

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

2006

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.

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