LARGB: Leaf Area Determination from Visual Image

Measurements of leaf area are important in the studies of plant biological characteristics. High-throughput plant phenotyping using image analysis is the key area in the domain of plant phenotyping. For determining the leaf area, the RGB image is converted into the grayscale image by simply averaging the Red(R), Green (G) and Blue (B) pixel values. Grayscale image is then converted into a binary image using Otsu’s thresholding method Otsu, N. (1979) <doi:10.1109/TSMC.1979.4310076> to separate plant area from the background (image segmentation). The segmentation process was accomplished by selecting the pixels with values over the threshold value belonging to the plant region and other pixels to the background region. The resulting binary image consists of white and black pixels representing the plant and background regions, respectively. Finally, the number of pixels inside the plant region was counted and converted to square centimetres (cm2) using the reference object (any object whose actual area is known previously) to get the projected leaf area.

Version: 0.1.0
Imports: imager, dplyr
Published: 2021-09-28
Author: Tanuj Misra [aut, cre], Alka Arora [aut], Sudeep Sudeep [aut], Shailendra Kumar [aut], Mrinmoy Ray [aut], Sudhir Kumar [aut], Pankaj Das [aut]
Maintainer: Tanuj Misra <tanujmisra102 at>
License: GPL-3
NeedsCompilation: no
CRAN checks: LARGB results


Reference manual: LARGB.pdf


Package source: LARGB_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): LARGB_0.1.0.tgz, r-oldrel (arm64): LARGB_0.1.0.tgz, r-release (x86_64): LARGB_0.1.0.tgz, r-oldrel (x86_64): LARGB_0.1.0.tgz


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