imgFFTConvolve: Apply a convolution filter on an imagedata through fft...
In matiasb/biOps: Image processing and analysis
Description
Usage
Arguments
Value
See Also
Examples
Description
This function returns the imagedata that results from the convolution, using fft transformation that let you convolve with bigger masks.
Usage
1
imgFFTConvolve(imgdata, mask)
Arguments
imgdata
The image
mask
The convolution mask
Value
return an imagedata
See Also
Examples
1
2
3
4
5
6
7
## Not run:
x <- readJpeg(system.file("samples", "violet.jpg", package="biOps"))
data <- c(-1,-1,-1,-1,9,-1,-1,-1,-1)
m <- matrix(data, 3, 3, byrow = TRUE)
i <- imgFFTConvolve(x, m)
## End(Not run)
matiasb/biOps documentation built on May 21, 2019, 12:55 p.m.
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Description Usage Arguments Value See Also Examples
Description
This function returns the imagedata that results from the convolution, using fft transformation that let you convolve with bigger masks.
Usage
1 | imgFFTConvolve(imgdata, mask)
|
Arguments
imgdata |
The image |
mask |
The convolution mask |
Value
return an imagedata
See Also
Examples
1 2 3 4 5 6 7 | ## Not run:
x <- readJpeg(system.file("samples", "violet.jpg", package="biOps"))
data <- c(-1,-1,-1,-1,9,-1,-1,-1,-1)
m <- matrix(data, 3, 3, byrow = TRUE)
i <- imgFFTConvolve(x, m)
## End(Not run)
|
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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