Plot a heatmap from a matix
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I implemented the minutia heat map presented in this paper (page 7): https://arxiv.org/pdf/1909.09901.pdf
The result is that i have 6 matrixes and i am looking for a way to plot these as shown in the paper (same page), like this:
Basically, the low values is presented in dark, and it gets lighter when it increase.
5 个评论
darova
2019-10-25
What about pcolor?
Katie
2019-10-25
pcolor, image, imagesc, imshow, or heatmap could all give you results that look similar to those in the paper figure you've shared. pcolor doesn't exactly color grid locations in accordance to the value at that grid location. Instead, it's doing a bilinear interpolation based on the colors at the verticies of that grid cell. There's some discussion about the difference between pcolor and image here: https://www.mathworks.com/matlabcentral/answers/37049-removing-grid-edge-lines-in-pcolor-figure
If you're set on using heatmap to plot your matricies, you could do a 2 by 3 subplot setup with the 'gray' colormap (or a custom colormap) and with the grid turned off.
subplot(2,3,1)
heatmap(x1,'Colormap',gray,'GridVisible','off')
Ahmed Madhun
2019-10-26
darova
2019-10-26
Make range for color axis the same for each figure
min = % minimum of 6 matrix
max = % maximum of 6 matrix
caxis([min max])
Ahmed Madhun
2019-10-26
编辑：Ahmed Madhun
2019-10-26
采纳的回答
darova
2019-10-26
You are using H for rows and W for columns
M1 = zeros(H,W);
% ...
for i = 1 : W
for j = 1 : H
% ...
M1(i,j) = Hijk; % looks like mistake
You can use cells to create 6 matrices automatically
MM = cell(6,1);
M = zeros(H,W);
for k = 1:6
for i
for j
for t
% do stuff
end
% ...
M(i,j) = %...
end
end
MM{k} = M;
end
After you found max and min values (global) use loop to visualize
for k = 1:6
figure(k)
heatmap(MM{k});
caxis([minx maxx])
colormap gray
end
11 个评论
Ahmed Madhun
2019-10-26
darova
2019-10-26
Find max value of each matrix and choose biggest. Do the same for minimum
Ahmed Madhun
2019-10-26
编辑：Ahmed Madhun
2019-10-26
Not really, no value is now displayed on the heatmap figures at all.
I change my code as you advised:
minV = 0;
maxV = 0;
for k = 1:6
for i = 1 : W
for j = 1 : H
Hijk = 0;
for t = 1 : n
Xt = X(t);
Yt = Y(t);
At = A(t);
%Calculate Cs
ED = sqrt((i-Xt)^2+(j-Yt)^2);
Cs = exp(-ED/GP);
%Calculate Co
DO = At - (2 * k * pi / K);
if (DO < -pi) || (DO > pi)
DO = 2 * pi - DO;
end
Co = exp(-DO/GP);
Hijk = Hijk + (Cs * Co);
end
M(i,j) = Hijk;
end
end
MM{k} = M;
% Get the maximum and minimum cell from all matrixes
if minV > min(M(:))
minV = min(M(:));
end
if maxV < max(M(:))
maxV = max(M(:));
end
end
for k = 1:6
figure(k)
heatmap(MM{k})
caxis([minV maxV])
colormap gray
end
the result is:
However, if i use the old code to display the heatmap as:
heatmap(MM{1},'Colormap',gray,'GridVisible','off');
the result is:
But this is equal for all matrixes!, which is not correct as all matrixes are different!
darova
2019-10-26
Is color range caxis the same for each matrix?
Ahmed Madhun
2019-10-26
编辑：Ahmed Madhun
2019-10-26
darova
2019-10-26
Please attach the data
Ahmed Madhun
2019-10-26
darova
2019-10-26
There is difference but only in intensity
for k = 1:5
subplot(3,2,k)
% figure(k)
h = pcolor(MM{k}-MM{k+1});
set(h,'edgecolor','none');
% caxis([minV maxV])
colormap gray
end
Ahmed Madhun
2019-10-26
Ahmed Madhun
2019-10-26
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