Easy Leaf Area: Automated digital image analysis for rapid and accurate measurement of leaf area
University of California, Davis
Abstract
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…
Citation impact
- FWCI
- 15.83
- Percentile
- 100%
- References
- 12
Authors
2Topics & keywords
- Digital camera
- Software
- Pixel
- Calibration
- Computer vision
- Artificial intelligence
- Digital image
- Scanner