Fish Shape Analysis Using Landmarks

1 January 1995

journal article
research article
Published by Wiley in Biometrical Journal

Vol. 37 (4) , 481-495
https://doi.org/10.1002/bimj.4710370408

Abstract

Landmarks are used to summarize the shapes of ten haddock and nine whiting. Error variance models, after generalized Procrustes analysis, are compared using simulation tests. The power to discriminate between fish species is shown to be increased by permitting non‐affine transformations that correct for fish curvature.

Keywords

This publication has 7 references indexed in Scilit:

Procrustes Methods in the Statistical Analysis of Shape
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1991
Fish species recognition by shape analysis of images
Pattern Recognition, 1990
A theory for multiresolution signal decomposition: the wavelet representation
Published by Institute of Electrical and Electronics Engineers (IEEE) ,1989
Digital Image Processing
Journal of Applied Statistics, 1989
Size and Shape Spaces for Landmark Data in Two Dimensions
Statistical Science, 1986
A Comparison of Fourier Methods for the Description of Wing Shape in Mosquitoes (Diptera: Culicidae)
Systematic Zoology, 1984
Generalized Procrustes Analysis
Psychometrika, 1975