Trying to 3d plot binary cubes

Question

Simon Penninag 2021-2-6

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/737937-trying-to-3d-plot-binary-cubes

评论： Simon Penninag 2021-2-9

采纳的回答： Kiran Felix Robert

在 MATLAB Online 中打开

Hi all,

I'm trying to generate a 32x32x32 image but I cannot manage to visualize it.

I'm using matlab R2020b with the image processing toolbox, and I want to place cubes at 32x32x32 indices with a value of either 1 or 0.

Below you can see the example in 2D, first the random gaussian noise is generated in a 32x32 grid, then filtered and cut-off.

The code I have to generate this is very straight-forward but visualizing seems to be the difficult part as this has to be a 4D plot, where 3 dimensions are simply indices and the 4th is the binary value (or greyscale). Can anyone help me plot this? I have tried things like surf, plot3, scatter3, but I couldn't get any of them to work.

I can validate that the correct data is there through montage(BW) but this gives me slices rather than a 3D image.

%%
sigma = 2;
vertice = 32;
level = 0.5;
image = rand(vertice,vertice,vertice);
filtered = imgaussfilt3(image,sigma);
BW = imbinarize(filtered,level);
montage(BW)

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KALYAN ACHARJYA 2021-2-7

"3d plot binary cubes"

Can you attach any reference image or replication drawing to undestand the question?

What type of the data you have, dimentions and data type?

Simon Penninag 2021-2-7

Hi Kalyan,

there are images on the original post, i hope you can see them. The data is generated in the code that is shown (its just random 32x32x32 doubles of noise). All im trying to produce is a 3D plot of this 32x32x32 cube of random noise.

A reference image:

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Answer 1

Kiran Felix Robert 2021-2-9

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链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/737937-trying-to-3d-plot-binary-cubes#answer_618867

编辑：Kiran Felix Robert 2021-2-9

在 MATLAB Online 中打开

Hi Simon,

Use the slice command and specify the slice position as vector argument.

The following is an example,

colormap gray
sigma = 2;
vertice = 32;
level = 0.5;
image = rand(vertice,vertice,vertice);
filtered = imgaussfilt3(image,sigma);
BW = double(imbinarize(filtered,level)); % Convert to double 
slice(BW,1:32,1:32,1:32) % 3D Plot for 32x32x32 image