Automated image acquisition and morphometric description

Richard J. White; H. C. Prentice; T. Verwijst

doi:10.1139/b88-070

Automated image acquisition and morphometric description

Richard J. White, H. C. Prentice, T. Verwijst

Research output: Contribution to journal › Article › peer-review

Abstract

Introduces an integrated automated outline handling system and compares the relative performance of shape descriptor systems based on 1) landmark and perimeter measurements, 2) chain codes, 3) elliptic Fourier coefficients, and 4) moment invariants. These methods were assessed by their ability to characterize the pattern of variation in a set of Betula leaf silhouettes with a hierarchical sample structure that allowed variation to be partitioned into within-tree, between-tree and between-species components. -from Authors

Original language	English
Pages (from-to)	450-459
Journal	Canadian Journal of Botany
Volume	66
Issue number	3
DOIs	https://doi.org/10.1139/b88-070
Publication status	Published - 1988
Externally published	Yes

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Copyright 2018 Elsevier B.V., All rights reserved.

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10.1139/b88-070

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title = "Automated image acquisition and morphometric description",

abstract = "Introduces an integrated automated outline handling system and compares the relative performance of shape descriptor systems based on 1) landmark and perimeter measurements, 2) chain codes, 3) elliptic Fourier coefficients, and 4) moment invariants. These methods were assessed by their ability to characterize the pattern of variation in a set of Betula leaf silhouettes with a hierarchical sample structure that allowed variation to be partitioned into within-tree, between-tree and between-species components. -from Authors",

author = "White, {Richard J.} and Prentice, {H. C.} and T. Verwijst",

year = "1988",

doi = "10.1139/b88-070",

language = "English",

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AU - White, Richard J.

AU - Prentice, H. C.

AU - Verwijst, T.

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AB - Introduces an integrated automated outline handling system and compares the relative performance of shape descriptor systems based on 1) landmark and perimeter measurements, 2) chain codes, 3) elliptic Fourier coefficients, and 4) moment invariants. These methods were assessed by their ability to characterize the pattern of variation in a set of Betula leaf silhouettes with a hierarchical sample structure that allowed variation to be partitioned into within-tree, between-tree and between-species components. -from Authors

U2 - 10.1139/b88-070

DO - 10.1139/b88-070

M3 - Article

AN - SCOPUS:0024258134

SN - 0008-4026

VL - 66

SP - 450

EP - 459

JO - Canadian Journal of Botany

JF - Canadian Journal of Botany

IS - 3

ER -

Automated image acquisition and morphometric description

Abstract

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