normalize: Normalization for a matrix
In SpatialPack: Tools for Assessment the Association Between Two Spatial Processes
normalize R Documentation
Normalization for a matrix
Description
This function normalizes an image matrix so that the minimum value is 0 and the
maximum value is 1.
Usage
normalize(img)
Arguments
img
target image
Value
Image matrix in which minimum value is 0 and maximum value is 1.
Examples
data(twelve)
x <- RGB2gray(twelve, method = "RMY")
x <- normalize(x)
plot(as.raster(x))
SpatialPack documentation built on Aug. 19, 2022, 5:20 p.m.
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| normalize | R Documentation |
Normalization for a matrix
Description
This function normalizes an image matrix so that the minimum value is 0 and the maximum value is 1.
Usage
normalize(img)
Arguments
img |
target image |
Value
Image matrix in which minimum value is 0 and maximum value is 1.
Examples
data(twelve) x <- RGB2gray(twelve, method = "RMY") x <- normalize(x) plot(as.raster(x))
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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