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how to develop 2D images into 3D viewing.

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mohd akmal masud
mohd akmal masud on 8 Oct 2021
Commented: yanqi liu on 10 Oct 2021
hi all, I have code below. Anyone know how to develop it into viewing as 3D, let say I want add thickness of that images 2.332mm. So that I can develop it into 3D images viewing.
Because if still 2D images, it cannot develop as 3D viewing.
% For binary images (png format, each pixel just have value 1 and 0.)
clc
clear all
dataSetDir = fullfile('C:\Users\Akmal\Desktop\I-131 256 28.02.2020\I-131 SPECT NEMA VALIDATION 01112019 256X256 26.09.2021 petang');
imageDir = fullfile(dataSetDir,'bnwaftersegmentation');
imds = imageDatastore(imageDir);
for i = 1:41
% subplot(6,7,i)
I = readimage(imds,i);
end
% For origional images 2D (png format, each pixel have pixel count.)
dataSetDir = fullfile('C:\Users\Akmal\Desktop\I-131 256 28.02.2020\I-131 SPECT NEMA VALIDATION 01112019 256X256 26.09.2021 petang');
imageDir = fullfile(dataSetDir,'Image');
imds = imageDatastore(imageDir);
for k = 1:41
% subplot(6,7,i)
J = readimage(imds,k);
end
%for viewing as 3D images
p = patch(isosurface(J, I==1));
axis equal
set(p,'FaceColor','c','EdgeColor','none');
alpha(p,1)
hold
but have error
Error using isosurface (line 72)
Isovalue must be a scalar.
sorry I ask many times, because I'm newer in Matlab Language.

Accepted Answer

yanqi liu
yanqi liu on 9 Oct 2021
Edited: yanqi liu on 9 Oct 2021
sir,please check the follow code to get some information
% For binary images (png format, each pixel just have value 1 and 0.)
clc
clear all
dataSetDir = fullfile('C:\Users\Akmal\Desktop\I-131 256 28.02.2020\I-131 SPECT NEMA VALIDATION 01112019 256X256 26.09.2021 petang');
imageDir = fullfile(dataSetDir,'bnwaftersegmentation');
imds = imageDatastore(imageDir);
for i = 1:41
% subplot(6,7,i)
I = readimage(imds,i);
% binary
Is{i} = logical(I);
end
% For origional images 2D (png format, each pixel have pixel count.)
dataSetDir = fullfile('C:\Users\Akmal\Desktop\I-131 256 28.02.2020\I-131 SPECT NEMA VALIDATION 01112019 256X256 26.09.2021 petang');
imageDir = fullfile(dataSetDir,'Image');
imds = imageDatastore(imageDir);
Js = [];
for k = 1:41
% subplot(6,7,i)
J = readimage(imds,k);
if ndims(J) == 3
J = rgb2gray(J);
end
% gray image
Js(:,:,k) = double(uint8(J).*uint8(Is{k}));
end
%for viewing as 3D images
Ds = smooth3(Js);
figure
hiso = patch(isosurface(Ds,5),...
'FaceColor',[1,.75,.65],...
'EdgeColor','none');
hcap = patch(isocaps(Js,5),...
'FaceColor','interp',...
'EdgeColor','none');
colormap copper
view(45,30)
axis tight
daspect([1,1,.8])
lightangle(45,30);
set(gcf,'Renderer','zbuffer'); lighting phong
isonormals(Ds,hiso)
set(hcap,'AmbientStrength',.6)
set(hiso,'SpecularColorReflectance',0,'SpecularExponent',50)
  4 Comments
yanqi liu
yanqi liu on 10 Oct 2021
I think should use isosurface to get 3D structure

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More Answers (1)

yanqi liu
yanqi liu on 9 Oct 2021
Edited: yanqi liu on 9 Oct 2021
use matrix to smooth data
  3 Comments
yanqi liu
yanqi liu on 10 Oct 2021
yes,use logical image to filter target

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