Identifying Foggy and Cloudy Images by Quantifying Haziness

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.


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Identifying Foggy and Cloudy Images by Quantifying Hazeness

The 'hazer' R pacakge 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.

The R package is developed and maintained by Bijan Seyednarollah.

News

2018-10-31: The vignettes are built!

2018-05-01: The hazer R package is released on CRAN!

2017-10-10: The very first version of hazer R package is built!

Reference manual

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install.packages("hazer")

1.1.1 by Bijan Seyednasrollah, 5 months ago


https://github.com/bnasr/hazer/


Report a bug at https://github.com/bnasr/hazer/issues


Browse source code at https://github.com/cran/hazer


Authors: Bijan Seyednasrollah


Documentation:   PDF Manual  


AGPL-3 | file LICENSE license


Suggests jpeg, testthat, knitr, rmarkdown


See at CRAN