A New Image-Processing-Based Technique for Measuring Leaf Dimensions

Ali, MM; Al-Ani, A; Eamus, D; Tan, DK

A New Image-Processing-Based Technique for Measuring Leaf Dimensions

Ali, MM Al-Ani, A

Eamus, D

Tan, DK

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Publisher:: IDOSI Publications
Publication Type:: Journal Article
Citation:: American-Eurasian J. Agric. & Environ. Sci., 2012, 12 (12), pp. 1588 - 1594
Issue Date:: 2012-01

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Field	Value	Language
dc.contributor.author	Ali, MM	en_US
dc.contributor.author	Al-Ani, A https://orcid.org/0000-0002-8092-8954	en_US
dc.contributor.author	Eamus, D https://orcid.org/0000-0003-2765-8040	en_US
dc.contributor.author	Tan, DK	en_US
dc.date.issued	2012-01	en_US
dc.identifier.citation	American-Eurasian J. Agric. & Environ. Sci., 2012, 12 (12), pp. 1588 - 1594	en_US
dc.identifier.issn	1818-6769	en_US
dc.identifier.uri	http://hdl.handle.net/10453/23067
dc.description.abstract	We propose in this paper a new method for measuring a number of leaf dimension parameters including height, width, average width, perimeter and area. A digital scanner is utilized to acquire leaf images, which unlike digital cameras, requires no calibration in terms of size and angle of the acquired images. Edge detection, filtering and thresholding algorithms are applied to identify the leaf section of the image against the background. Forty leaves that differ in shape and size were used to validate the estimated parameters against the true values and parameters produced by the popular Li-Cor 3100. Data indicated that the proposed method achieved a constantly high accuracy	en_US
dc.publisher	IDOSI Publications	en_US
dc.relation.ispartof	American-Eurasian J. Agric. & Environ. Sci.	en_US
dc.title	A New Image-Processing-Based Technique for Measuring Leaf Dimensions	en_US
dc.type	Journal Article
utslib.citation.volume	12	en_US
utslib.for	0907 Environmental Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.issue	12	en_US
pubs.volume	12	en_US

Abstract:

We propose in this paper a new method for measuring a number of leaf dimension parameters including height, width, average width, perimeter and area. A digital scanner is utilized to acquire leaf images, which unlike digital cameras, requires no calibration in terms of size and angle of the acquired images. Edge detection, filtering and thresholding algorithms are applied to identify the leaf section of the image against the background. Forty leaves that differ in shape and size were used to validate the estimated parameters against the true values and parameters produced by the popular Li-Cor 3100. Data indicated that the proposed method achieved a constantly high accuracy

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http://hdl.handle.net/10453/23067