Easy Leaf Area: Automated digital image analysis for rapid and accurate measurement of leaf area.
Easy Leaf Area: Automated digital image analysis for rapid and accurate measurement of leaf area.
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DOI:
10.3732/apps.1400033
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发表时间:
2014-07
影响因子:
3.6
通讯作者:
Bloom AJ
中科院分区:
文献类型:
--
作者:
Easlon HM;Bloom AJ
• 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.
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影响因子:
7.3
作者:
Carins Murphy, Madeline R.;Jordan, Gregory J.;Brodribb, Timothy J.
通讯作者:
Brodribb, Timothy J.
影响因子:
2.2
作者:
O'Neal, ME;Landis, DA;Isaacs, R
通讯作者:
Isaacs, R
影响因子:
3.7
作者:
Easlon, Hsien Ming;Nemali, Krishna S.;Richards, James H.;Hanson, David T.;Juenger, Thomas E.;McKay, John K.
通讯作者:
McKay, John K.
影响因子:
6.9
作者:
Orsini F;D'Urzo MP;Inan G;Serra S;Oh DH;Mickelbart MV;Consiglio F;Li X;Jeong JC;Yun DJ;Bohnert HJ;Bressan RA;Maggio A
通讯作者:
Maggio A
影响因子:
3.7
作者:
Juneau KJ;Tarasoff CS
通讯作者:
Tarasoff CS