Paper · 1986 · Canadian Journal of Forest Research

Fractal analysis of leaf shapes

J. Vlcek; E. Cheung

3
claims
4
verbatim quotes
43
citations
3
research areas
—
Not open access

Abstract

An application of fractal mathematics to the analysis of leaf shapes is presented. Six leaves randomly selected from nine tree species were used in the study. A video imaging method together with microcomputer-based image processing was used to generate leaf outlines. A fractal analysis program was written to calculate the fractal dimensions of the leaves. Recalling a leaf outline from a diskette and specifying both the starting position on it (e.g., the beginning of the petiole) and six step lengths (explained later), the program then generates the fractal dimension according to the theory described. The results show that the fractal dimension is sensitive to leaf shape variations within a species. For example, two types of ginkgo leaves (one with and one without a notch in the middle of the leaf outline) showed distinctly different fractal values. Similar sensitivity to shape change was observed among the leaves of white oak, red oak, and sugar maple where such variables as width to length ratio and the degree of jaggedness of the leaf caused a departure of the fractal value from the average.

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Claims 3

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The fractal dimension of leaves is sensitive to leaf shape variations within a species of tree.

Taxon
tree speciese1
Outcome
fractal dimensione2
Comparator
within a speciese2

Verbatim

e1

“Six leaves randomly selected from nine tree species were used in the study”

✓ located verbatim in the source · abstract, characters 83–157 · show in text ↑
e2

“The results show that the fractal dimension is sensitive to leaf shape variations within a species”

✓ located verbatim in the source · abstract, characters 609–707 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Two types of ginkgo leaves, with and without a notch, gave distinctly different fractal values.

Taxon
ginkgoGinkgoe3
Outcome
fractal valuese3
Qualifier
distinctly differente3
Comparator
one with and one without a notch in the middle of the leaf outlinee3

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Ginkgo
Ginkgo · Taxon · picture from its Wikimedia Commons categoryMPhernambucq · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e3

“two types of ginkgo leaves (one with and one without a notch in the middle of the leaf outline) showed distinctly different fractal values”

✓ located verbatim in the source · abstract, characters 722–860 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Width to length ratio and leaf jaggedness caused the fractal value of white oak, red oak and sugar maple leaves to depart from the average.

Taxon
white oak, red oak, and sugar mapleQuercus rubraQuercus albaAcer saccharume4
Outcome
fractal valuee4
Qualifier
width to length ratio and the degree of jaggednesse4
Comparator
averagee4

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Quercus rubra
Quercus rubra · TaxonNicholas A. Tonelli from Northeast Pennsylvania, USA · CC BY 2.0 · Wikimedia Commons ↗
Quercus alba
Quercus alba · TaxonMarty Aligata · CC BY-SA 3.0 · Wikimedia Commons ↗
Acer saccharum
Acer saccharum · TaxonNo machine-readable author provided. MPF assumed (based on copyright claims). · CC BY 2.5 · Wikimedia Commons ↗

Verbatim

e4

“Similar sensitivity to shape change was observed among the leaves of white oak, red oak, and sugar maple where such variables as width to length ratio and the degree of jaggedness of the leaf caused a departure of the fractal value from the average”

✓ located verbatim in the source · abstract, characters 862–1110 · show in text ↑