Trying to add color gradient to patch(isosurface))

조회 수: 17 (최근 30일)
Simon Penninag
Simon Penninag 2021년 3월 1일
댓글: Simon Penninag 2021년 3월 2일
Hi all,
im currently trying to visualize a pressure field in a 3D voxel field of a 32x32x32 image.
The way this currently works is through using patch(isosurface()) as is shown in the code below.
image = rand(32,32,32);
filtered = imgaussfilt3(image,2.5);
BW = imbinarize(filtered,0.517);
patch(isosurface(BW),'FaceColor','white','EdgeColor','black')
The image above is what it produces.
What it does is plot the contour of the 1's and leave empty the 0's but I want it to do something else. The 1 values are going to be replaced by pressure field values (1 to 33) and I want the white+black contour to change into a color gradient. So far I couldnt get any colormap to do this. Is this even possible?

채택된 답변

darova
darova 2021년 3월 2일
Here is an example (not tested)
% BW - is your 01 3d matrix
% A - is your color value matrix (0-33)
cm = jet(33); % colormap
fv = isosurface(BW,0.9);
fv.facevertexcdata = cm(A(:),:); % get color according to 0-33
patch(fv,'facecolor','interp')
  댓글 수: 3
darova
darova 2021년 3월 2일
Everything is ok. I understood correctly. Here are corrections
% BW - is your 01 3d matrix
% A - is your color value matrix (0-33)
cm = jet(34); % colormap
fv = isosurface(BW,0.9); % extract patch data
[m,n,k] = size(A);
[x,y,z] = meshgrid(1:m,1:n,1:k); % mesh
v1 = fv.vertices;
A1 = griddata(x,y,z,A,v1(:,1),v1(:,2),v1(:,3)); % interpolate A data (0-33) for x y z position
ind = 1 + round(A1); % indices
fv.facevertexcdata = cm(ind,:); % get color according to 1-34
patch(fv,'facecolor','interp')
Simon Penninag
Simon Penninag 2021년 3월 2일
It works like a charm! Thanks!

댓글을 달려면 로그인하십시오.

추가 답변 (1개)

ANKUR KUMAR
ANKUR KUMAR 2021년 3월 1일
Not sure about the exact what you wish to plot. But you can give it a try to plot using imagesc, use the gray colormap to plot.
imagesc(nanmean(filtered,3)
colorbar
colormap(gray)
  댓글 수: 1
Simon Penninag
Simon Penninag 2021년 3월 1일
I'm trying to reproduce the contour shown in the original post. It's a 3D image of the voxels that have the value '1' as oppossed to the value '0'. This '1' is going to become a value between 0 and 33 and needs a corresponding colour gradient.

댓글을 달려면 로그인하십시오.

카테고리

Help CenterFile Exchange에서 Colormaps에 대해 자세히 알아보기

제품


릴리스

R2020b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by