how to display multiple image in one figure window

please tell me how show that dyanamic images to one plot...

[Anjal Afghan]

you can do this:

if true
 figure;
subplot(2,2,1),imshow(first_image);
subplot(2,2,2),imshow(second_image);
subplot(2,2,3),imshow(third_image);
subplot(2,2,4),imshow(fourth_image);
end
for a 4x4 plot

Answer 1

[Geoff Hayes]

Shraddha - see subplot to create multiple axes on one figure/window, and see image for displaying an image to that axes.

For example, if you have four images and want to display each in its own axes, then you could do the following

 % create the subplots
 figure;
 h    = [];
 h(1) = subplot(2,2,1);
 h(2) = subplot(2,2,2);
 h(3) = subplot(2,2,3);
 h(4) = subplot(2,2,4);

Note that the h array contains the handles of the four axes (one for each subplot). Now if we have four images named img1, img2, img3, img4, then we display each as

 image(img1,'Parent',h(1));
 image(img2,'Parent',h(2));
 image(img3,'Parent',h(3));
 image(img4,'Parent',h(4));

Try the above and see what happens!

[Image Analyst]

Or (like how I'd do it):

subplot(2, 2, 1);
image(image1);
subplot(2, 2, 2);
image(image2);
subplot(2, 2, 3);
image(image3);
subplot(2, 2, 4);
image(image4);

Actually I us imshow() instead of image().

[Shraddha Agnihotri]

Thanks a lot...

[Pawan Vannal]

thank you :-)

[Walter Roberson]

Haseeb Hassan comments to Image Analyst:

Very Easy and useful.

[Diana Alonso]

Hi, what is the difference between imshow and images? I would greatly appreciate if you could clarify this confusion.

[Walter Roberson]

imshow() uses image() internally, so imshow() is a convenience function rather than being a complete different way of displaying an image (for example, there is a complete different way of displaying images by creating surface objects and texture mapping on to the surface.)

imshow() generally wants to try to figure out how large the image is and try to resize the figure to hold just the image, but also automatically rescales the image if it is too large to show in a single on-screen figure.

imshow() automatically assumes that uint8 data that has only one channel is grayscale, saving the trouble of having to colormap(gray) to display it.

imshow() handles spatial referencing of images if a reference is passed in.

imshow() does the equivalent of "axis image" on behalf of the user.

But imshow() has a nasty side effect: in the case where the axes is determined to be in the default position as-if it is the only axes in the figure, then it deletes the axes and creates a new one, which removes all properties and callbacks and userdata and listeners you might have set on the axes.

image() by itself will put the image up at whatever size and aspect ratio the axes happens to be, so by itself it is common that image() ends up displaying images "stretched". image() never establishes a colormap by itself. image() will always use an existing axes if there is one.

My summary is that imshow() is a useful shortcut for the case where you want to toss an image up on the screen with the correct aspect ratio and make the figure big enough to hold the image. However, if you are trying to build a GUI with particular area allocated for an image and with menus and controls and so on, there is too much risk that imshow() will do something hidden that you do not want done in that situation, so if you are trying to do anything more advanced than just displaying the image, you should probably avoid using imshow()

[Parth Dethaliya]

Hi I would like to what if the number of images are very high. suppose, 100 images.then?

Note: All images are of same size (25*25 pixels).

[Walter Roberson]

perhaps montage() would work for your circumstances.

Answer 2

[Alexandra Holland]

This also happens to work for juxtaposition of imshow or histogram functions. I hope this helps!!

Overlay_adjG_TAG=labeloverlay(TAG_adjG, TAGmask,'Transparency',0.7,'Colormap','summer');
Overlay_adjG_VP1=imoverlay(VP1_adjG, VP1_mask_open, 'blue');
% 2x2 plot tile
tiledlayout(2,2)
nexttile
imshow(Overlay_log_DAPI) % image top left
nexttile
histogram(PearsonCoef,11); % image top right
nexttile
imshow(Overlay_adjG_TAG )% image bottom left
nexttile
imshow(Overlay_adjG_VP1) % image bottom right