I have a MATLAB code snippet that uses subplot
to generate some plots in the same figure. However, I want to make surf
plots in subplot(3,3,2)
, subplot(3,3,5)
, subplot(3,3,8)
colorful instead of grayscale and keep subplot(1,3,1)
, subplot(3,3,3)
, subplot(3,3,6)
, subplot(3,3,9)
grayscale. How can I achieve that?
img = imread('moon.tif');
subplot(1,3,1);
imagesc(img);
colormap(gray);
title('moon.tif');
axis tight; axis equal;
subplot(3,3,2);
sigma = 3;
gaussianfilter = fspecial('gaussian', [90,90], sigma); % typically we would choose to filter width to be six times sigma
surf(gaussianfilter);
title(['Gaussian filter \sigma = ', num2str(sigma)]);
subplot(3,3,3);
img_filtered = conv2(img, gaussianfilter, 'same');
imagesc(img_filtered);
title('Filtered image');
axis tight; axis equal;
subplot(3,3,5);
sigma = 9;
gaussianfilter = fspecial('gaussian', [90,90], sigma);
surf(gaussianfilter);
title(['Gaussian filter \sigma = ', num2str(sigma)]);
subplot(3,3,6);
img_filtered = conv2(img, gaussianfilter, 'same');
imagesc(img_filtered);
title('Filtered image');
axis tight; axis equal;
subplot(3,3,8);
sigma = 15;
gaussianfilter = fspecial('gaussian', [90,90], sigma);
surf(gaussianfilter);
title(['Gaussian filter \sigma = ', num2str(sigma)]);
subplot(3,3,9);
img_filtered = conv2(img, gaussianfilter, 'same');
image(img_filtered);
title('Filtered image');
axis tight; axis equal;
CodePudding user response:
You can pass the desired axes to the colormap
function, and specify the color scheme (e.g., jet, gray, etc.) you want to display. The axes can be obtained from the subplot
function.
Try this code:
img = imread('moon.tif');
ax1 = subplot(1,3,1);
imagesc(img);
colormap(ax1, gray);
title('moon.tif');
axis tight; axis equal;
ax2 = subplot(3,3,2);
sigma = 3;
gaussianfilter = fspecial('gaussian', [90,90], sigma); % typically we would choose to filter width to be six times sigma
surf(gaussianfilter);
colormap(ax2, jet);
title(['Gaussian filter \sigma = ', num2str(sigma)]);
ax3 = subplot(3,3,3);
img_filtered = conv2(img, gaussianfilter, 'same');
imagesc(img_filtered);
colormap(ax3, gray);
title('Filtered image');
axis tight; axis equal;
ax5 = subplot(3,3,5);
sigma = 9;
gaussianfilter = fspecial('gaussian', [90,90], sigma);
surf(gaussianfilter);
colormap(ax5, jet);
title(['Gaussian filter \sigma = ', num2str(sigma)]);
ax6 = subplot(3,3,6);
img_filtered = conv2(img, gaussianfilter, 'same');
imagesc(img_filtered);
colormap(ax6, gray);
title('Filtered image');
axis tight; axis equal;
ax8 = subplot(3,3,8);
sigma = 15;
gaussianfilter = fspecial('gaussian', [90,90], sigma);
surf(gaussianfilter);
colormap(ax8, jet);
title(['Gaussian filter \sigma = ', num2str(sigma)]);
ax9 = subplot(3,3,9);
img_filtered = conv2(img, gaussianfilter, 'same');
image(img_filtered);
colormap(ax9, gray);
title('Filtered image');
axis tight; axis equal;