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Numerical analysis of scale morphology to discriminate betweenatlantic salmon stocks

Published online by Cambridge University Press:  15 January 1988

Hélène de Pontual  and
Patrick Prouzet
Hélène de Pontual
Affiliation:
IFREMER, Centre de Brest, DRV/AP, BP 337, 29273 Brest cedex, France
Patrick Prouzet
Affiliation:
IFREMER, Station Hydrobiologie INRA, BP 3, Saint-Pée-sur-Nivelle, 64310 Ascain, France
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Abstract

The use of an image analysis microsystem with a specially developed software enabled scale image processing, outline extraction and computation of features which are not available in the conventional approach of scale analysis. Those parameters (shape factors, moment invariants and elliptic Fourier coefficients) were introduced into a discriminant analysis process to test their usefulness in stock identification. The method was applied to European stocks originating from Norway (Etne river) and France (Elorn river). The low misclassification rate obtained indicates that this approach is particularly promising.

Keywords

Atlantic salmonscalenumerical analysisstock identificationSaumon atlantiqueécailleanalyse numériqueidentification de stocks
Type
Research Article
Information
Aquatic Living Resources , Volume 1 , Issue 1 , January 1988 , pp. 17 - 27
Copyright
© IFREMER-Gauthier-Villars, 1988

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