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hazer
View on CRAN: Click
here
Download and install hazer package within the R console
Install from CRAN:
install.packages("hazer")
Install from Github:
library("remotes")
install_github("cran/hazer")
Install by package version:
library("remotes")
install_version("hazer", "1.1.1")
Attach the package and use:
library("hazer")
Maintained by
Bijan Seyednasrollah
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-05-02
Latest Update: 2018-11-01
Description:
Provides a set of functions to estimate haziness of an image based on RGB bands. It returns a haze factor, varying from 0 to 1, a metric for fogginess and cloudiness. The package also presents additional functions to estimate brightness, darkness and contrast rasters of the RGB image. This package can be used for several applications such as inference of weather quality data and performing environmental studies from interpreting digital images.
How to cite:
Bijan Seyednasrollah (2018). hazer: Identifying Foggy and Cloudy Images by Quantifying Haziness. R package version 1.1.1, https://cran.r-project.org/web/packages/hazer
Previous versions and publish date:
1.0.1 (2018-05-02 21:43)
Other packages that cited hazer R package
View hazer citation profile
Other R packages that hazer depends,
imports, suggests or enhances
Functions, R codes and Examples using
the hazer R package
Some associated functions: getBrightness . getContrast . getDarkness . getHazeFactor . plotRGBArray .
Some associated R codes: getBrightness.R . getContrast.R . getDarkness.R . getHazeFactor.R . plotRGBArray.R . Full hazer package functions and examples
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