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Authors: Ekrem Misimi 1 ; John R. Mathiassen 2 ; Ulf Erikson 2 and Amund Skavhaug 3

Affiliations: 1 SINTEF Fisheries and Aquaculture; Norwegian University of Science and Technology, Norway ; 2 SINTEF Fisheries and Aquaculture, Norway ; 3 Norwegian University of Science and Technology, Norway

ISBN: 972-8865-40-6

ISSN: 2184-4321

Keyword(s): Computer vision, feature extraction, fish grading, processing line, Atlantic salmon.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Feature Extraction ; Features Extraction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Signal Processing, Sensors, Systems Modeling and Control

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 f or replacing manual labour in fish processing plants. (More)

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Paper citation in several formats:
Misimi E.; R. Mathiassen J.; Erikson U.; Skavhaug A. and (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

@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},
}

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

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