mcr_inspect_phases: Plot an images brightness density distribution
In Ignimbrit/mincountr: A simple point counter for mineral volume estimates
Description
Usage
Arguments
Examples
View source: R/classify_image.R
Description
Inspecting the density distribution of an electron
microscope image of minerals effectively allows to identify different phases
as their distinct brightness is a key giveaway of their different chemical
composition (and conductivity).
Usage
1
Arguments
x
an image loaded with mcr_load_image
Examples
1
2
myimage <- mcr_load_image(system.file("extdata", "testim.png", package = "mincountr"))
mcr_inspect_phases(myimage)
Ignimbrit/mincountr documentation built on April 11, 2020, 12:10 a.m.
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Description Usage Arguments Examples
View source: R/classify_image.R
Description
Inspecting the density distribution of an electron microscope image of minerals effectively allows to identify different phases as their distinct brightness is a key giveaway of their different chemical composition (and conductivity).
Usage
1 |
Arguments
x |
an image loaded with |
Examples
1 2 | myimage <- mcr_load_image(system.file("extdata", "testim.png", package = "mincountr"))
mcr_inspect_phases(myimage)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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