filter2D: Image Convolution with Kernel
In neuroconductor-devel-releases/Rvision: Basic Computer Vision Library
Description
Usage
Arguments
Value
Note
Author(s)
See Also
Examples
Description
filter2D applies an arbitrary linear filter to an image.
Usage
1
Arguments
image
An Image object.
kernel
A matrix representing the convolution kernel.
Value
An Image object.
Note
For color images, the same kernel is applied to each channel of the
image. If you want to apply different kernels to each channel, first split
the image into separate channels with the split and process
them individually before merging them using the merge function.
Author(s)
Simon Garnier, garnier@njit.edu
See Also
Examples
1
# TODO
neuroconductor-devel-releases/Rvision documentation built on Oct. 27, 2020, 1:16 p.m.
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Description Usage Arguments Value Note Author(s) See Also Examples
Description
filter2D applies an arbitrary linear filter to an image.
Usage
1 |
Arguments
image |
An |
kernel |
A matrix representing the convolution kernel. |
Value
An Image object.
Note
For color images, the same kernel is applied to each channel of the
image. If you want to apply different kernels to each channel, first split
the image into separate channels with the split and process
them individually before merging them using the merge function.
Author(s)
Simon Garnier, garnier@njit.edu
See Also
Examples
1 | # TODO
|
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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