imfilter
J = imfilter(I::GMTimage, kernel::Matrix{<:Real}; normalize::Int=1, sep::Bool=false)::GMTimage
keywords: GMT, Julia, fill convolution filtering
Args
I::GMTimage
: Input image. This can be a RGB or grayscale image.kernel::Matrix{<:Real}
: The filter kernel MxN matrix.
Kwargs
normalize::Int=1
: Normalize the filter to unit sum. This is the default, unlesssum(kernel) == 0
, case in which we change it to 0.sep::Bool=false
: Try to decompose the filter into two 1-D components. If possible, this leads to a faster execution. MxN x (m+n) operations, instead of MxN x mxn. Where M,N and m,n are the sizes of the image I and the kernel filter respectively.
Returns
A new GMTimage of the same type as I
with the filtered image.
Example
Apply an 3x3 Mean Removal filter to the image "moon.png".
using GMT
I = gmtread(TESTSDIR * "assets/moon.png");
J = imfilter(I, [-1 -1 -1; -1 9 -1; -1 -1 -1]);
grdimage(I, figsize=5)
grdimage!(J, figsize=5, xshift=5, show=true)
See Also
imfill, bwskell, imerode, imsobel
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