forImage: Foraminiferal Image Analysis and Test Measurement

The goal of this collection of functions is to provide an easy to use tool for the measurement of foraminifera and other unicellulars organisms size. With functions developed to guide foraminiferal test biovolume calculations and cell biomass estimations. The volume function includes several microalgae models geometric adaptations based on Hillebrand et al. (1999) <doi:10.1046/j.1529-8817.1999.3520403.x>, Sun and Liu (2003) <doi:10.1093/plankt/fbg096> and Vadrucci, Cabrini and Basset (2007) <doi:10.1285/i1825229Xv1n2p83>.

Version: 0.1.0
Depends: R (≥ 3.2.0)
Imports: dplyr, magrittr, tibble, reticulate
Suggests: knitr, rmarkdown, data.table, xml2, raster, testthat (≥ 2.1.0)
Published: 2021-03-02
DOI: 10.32614/CRAN.package.forImage
Author: Thaise R Freitas [aut, cre], Eduardo Bacalhau [aut], Carla Bonetti [aut]
Maintainer: Thaise R Freitas <thaisericardo.freitas at>
License: MIT + file LICENSE
NeedsCompilation: no
SystemRequirements: Python >=3.5, numpy ( >= 1.18.1), imutils ( >= 0.5.3), scipy ( >= 1.4.1), pandas ( >= 1.0.2), Pillow ( >= 7.0.0), opencv ( >= 4.1.2)
Materials: README
CRAN checks: forImage results


Reference manual: forImage.pdf
Vignettes: Getting started with forImage R package


Package source: forImage_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): forImage_0.1.0.tgz, r-oldrel (arm64): forImage_0.1.0.tgz, r-release (x86_64): forImage_0.1.0.tgz, r-oldrel (x86_64): forImage_0.1.0.tgz


Please use the canonical form to link to this page.