Easy Leaf Area: Automated Digital Image Analysis for Rapid and Accurate Measurement of Leaf Area

Premise of the study: Measurement of leaf areas from digital photographs has traditionally required significant user input unless backgrounds are carefully masked. Easy Leaf Area was developed to batch process hundreds of Arabidopsis rosette images in minutes, removing background artifacts and savin...

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Bibliographic Details
Published inApplications in plant sciences Vol. 2; no. 7; pp. 1400033 - n/a
Main Authors Easlon, Hsien Ming, Bloom, Arnold J
Format Journal Article
LanguageEnglish
Published United States Botanical Society of America 01.07.2014
John Wiley & Sons, Inc
Wiley
Subjects
Algorithms
Arabidopsis
Automation
batch systems
Calibration
canopy
color
Computer programs
computer software
Digital cameras
digital images
image analysis
Image processing
Leaf area
Leaves
Plant growth
Plant sciences
Python
rapid methods
Ratios
Rosette
Scanners
SOFTWARE NOTE
United States > US
Arabidopsis
digital images
leaf area
Python
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Summary:Premise of the study: Measurement of leaf areas from digital photographs has traditionally required significant user input unless backgrounds are carefully masked. Easy Leaf Area was developed to batch process hundreds of Arabidopsis rosette images in minutes, removing background artifacts and saving results to a spreadsheet-ready CSV file. Methods and Results: Easy Leaf Area uses the color ratios of each pixel to distinguish leaves and calibration areas from their background and compares leaf pixel counts to a red calibration area to eliminate the need for camera distance calculations or manual ruler scale measurement that other software methods typically require. Leaf areas estimated by this software from images taken with a camera phone were more accurate than ImageJ estimates from flatbed scanner images. Conclusions: Easy Leaf Area provides an easy-to-use method for rapid measurement of leaf area and nondestructive estimation of canopy area from digital images.
Bibliography:http://dx.doi.org/10.3732%2Fapps.1400033
This work was supported by the National Science Foundation (IOS‐1358675). The authors thank Eli Carlisle and Madeline Perez for their feedback on early versions of Easy Leaf Area, Eli Carlisle for providing tomato images, and Nicolas Cobo for providing wheat images. We would also like to thank the editor and reviewers for their useful comments.
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This work was supported by the National Science Foundation (IOS-1358675). The authors thank Eli Carlisle and Madeline Perez for their feedback on early versions of Easy Leaf Area, Eli Carlisle for providing tomato images, and Nicolas Cobo for providing wheat images. We would also like to thank the editor and reviewers for their useful comments.
ISSN:2168-0450
2168-0450
DOI:10.3732/apps.1400033