- Functions for a colormap which you like
- Complementary color will be defined automatically.
* Demo of Gabor and Gaussian Colormap Visualization below
** Template colormap, viridis, magma etc. is not equal to matplotlib's one.
```
%% Demo code
x = linspace(-pi, pi, 256);
[xx, yy] = meshgrid(x, x);
% G = fspecial('gaussian', 256, 20);
G = exp(-1*(xx.^2 + yy.^2)/2*(2^2));
G = G./max(G(:));
S = sin(xx*pi);
for i = 1:3 %% making R, G, B colormap
tcol = [0 0 0];
tcol(i) = .5;
subplot(3,2,2*(i-1)+1)
imagesc(G.*S); colormap(gca, polcmap(128, tcol));
colorbar; axis image; axis off
subplot(3,2,2*(i-1)+2)
imagesc(G); colormap(gca, wcmap(128, tcol));
colorbar; axis image; axis off
end
```
2018/02/02 R.Takeuchi
2018/10/16 - add some template colormap, see demo.m for checking usage