Smoothing 3D Matrix in z-direction
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Hey guys, I've been trying to find a solution for smoothing a 3D (512x101x1200) matrix in the z direction, but was unsure how to proceed
I have conventional used 2D data sets for this kind of smoothing (arbritarily I use something like a 5point smoothing) but I am having trouble adapting this now to the third dimension
So ideally I would proccess the matrix by smoothing it in the z-direction, if anyone can help me with this it would be greatly appreicated. Apologies I can't attach my actual data as it is too large but any 3D matrix is sufficient!
Thank you!
2 件のコメント
Rik
2020 年 4 月 2 日
Have you considered convolutions? They are generally relatively easy to extend to higher dimensions once you have them working in lower dimensions. That is the reason my region growing function supports dimensions higher than 3, even if I don't think anyone will ever use that.
回答 (2 件)
Ameer Hamza
2020 年 4 月 2 日
See convn(): https://www.mathworks.com/help/matlab/ref/convn.html. You can directly do 3D convolution.
0 件のコメント
Markus
2023 年 10 月 25 日
Hi,
this works, but it's a slow solution:
Assuming you have a matrix called 'data' that is (512x101x1200)
for x = 1:512
for y = 1:101
smooth(data(x,y,:))
end
end
For more details to adjust the span e.g. see: https://www.mathworks.com/help/curvefit/smooth.html#mw_62e54d1e-a0d3-4ccb-9dd8-142962c488b3
It's a nested for loop so it's not very fast. If you concatenated all z columns their beginnings and ends get smoothed together, hence you need to smooth them one by one.
0 件のコメント
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