Description Usage Arguments Value Author(s) See Also Examples
View source: R/profoundUtility.R
Various image transformation functions that assist in exploring data. These all require the imager
package to be installed.
1 2 3 |
image |
Numeric matrix; required, the image we want to analyse. |
sigma |
Numeric scalar; standard deviation of the blur. |
plot |
Logical; should a |
... |
Further arguments to be passed to |
Numeric matrix; a new image the same size as image, with the relevant transform applied.
For profoundImBlur
the output is a smoothed version of the image.
For profoundImGrad
the output is the magnitude of the gradient of the smoothed version of the image.
For profoundImDiff
the output is the original image minus the smoothed version of the image.
Aaron Robotham
profoundMakeSegim
, profoundMakeSegimExpand
1 2 3 4 5 6 | image=readFITS(system.file("extdata", 'VIKING/mystery_VIKING_Z.fits',
package="ProFound"))$imDat
magimage(image)
profoundImBlur(image, plot=TRUE)
profoundImGrad(image, plot=TRUE)
profoundImDiff(image, plot=TRUE)
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