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
Bloom AJ
中科院分区:
生物学4区
文献类型:
--
作者:
Easlon HM;Bloom AJ

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·研究报告:传统上,从数码照片中测量叶面积需要大量用户输入,除非仔细掩盖背景。Easy Leaf Area的开发可以在几分钟内批量处理数百个拟南芥莲座图像,去除背景伪影并将结果保存到电子表格CSV文件中。·方法和结果:Easy Leaf Area使用每个像素的颜色比率将树叶和校准区域与其背景区分开来,并将树叶像素计数与红色校准区域进行比较,从而消除了其他软件方法通常需要的相机距离计算或手动标尺刻度测量。通过该软件从用照相手机拍摄的图像中估计的叶面积比ImageJ从平板扫描仪图像中估计的叶面积更准确。结论:Easy Leaf Area提供了一种易于使用的方法,用于快速测量叶面积和从数字图像无损估计冠层面积。
• 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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