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To display image data, use the imshow function. The following example reads an image into the MATLAB® workspace and then displays the image in a MATLAB figure window.
moon = imread('moon.tif'); imshow(moon);
The imshow function displays the image in a MATLAB figure window, as shown in the following figure.
You can also pass imshow the name of a file containing an image.
This syntax can be useful for scanning through images. Note, however, that when you use this syntax, imread does not store the image data in the MATLAB workspace. If you want to bring the image into the workspace, you must use the getimage function, which retrieves the image data from the current Handle Graphics® image object. This example assigns the image data from moon.tif to the variable moon, if the figure window in which it is displayed is currently active.
moon = getimage;
For more information about using imshow to display the various image types supported by the toolbox, see Display Different Image Types.
By default, imshow attempts to display an image in its entirety at 100% magnification (one screen pixel for each image pixel). However, if an image is too large to fit in a figure window on the screen at 100% magnification, imshow scales the image to fit onto the screen and issues a warning message.
To override the default initial magnification behavior for a particular call to imshow, specify the InitialMagnification parameter. For example, to view an image at 150% magnification, use this code.
pout = imread('pout.tif'); imshow(pout, 'InitialMagnification', 150)
imshow attempts to honor the magnification you specify. However, if the image does not fit on the screen at the specified magnification, imshow scales the image to fit and issues a warning message. You can also specify the text string 'fit' as the initial magnification value. In this case, imshow scales the image to fit the current size of the figure window.
To change the default initial magnification behavior of imshow, set the ImshowInitialMagnification toolbox preference. To set the preference, open the Image Processing Toolbox Preferences dialog by calling iptprefs or by selecting Preferences from the MATLAB Desktop File menu.
When imshow scales an image, it uses interpolation to determine the values for screen pixels that do not directly correspond to elements in the image matrix. For more information, see Specify the Interpolation Method.
By default, when imshow displays an image in a figure, it surrounds the image with a gray border. You can change this default and suppress the border using the 'border' parameter, as shown in the following example.
The following figure shows the same image displayed with and without a border.
The 'border' parameters affect only the image being displayed in the call to imshow. If you want all the images that you display using imshow to appear without the gray border, set the Image Processing Toolbox™ 'ImshowBorder' preference to 'tight'. You can also use preferences to include visible axes in the figure. For more information about preferences, see iptprefs.
The simplest way to display multiple images is to display them in separate figure windows. MATLAB does not place any restrictions on the number of images you can display simultaneously.
imshow always displays an image in the current figure. If you display two images in succession, the second image replaces the first image. To view multiple figures with imshow, use the figure command to explicitly create a new empty figure before calling imshow for the next image. For example, to view the first three frames in an array of grayscale images I,
imshow(I(:,:,:,1)) figure, imshow(I(:,:,:,2)) figure, imshow(I(:,:,:,3))
You can use the imshow function with the MATLAB subplot function or the MATLAB subimage function to display multiple images in a single figure window. For additional options, see What is an Image Sequence?.
subplot divides a figure into multiple display regions. The syntax of subplot is
This syntax divides the figure into an m-by-n matrix of display regions and makes the pth display region active.
Note When you use subplot to display multiple color images in one figure window, the images must share the colormap of the last image displayed. In some cases, as illustrated by the following example, the display results can be unacceptable. As an alternative, you can use the subimage function, described in Using the subimage Function to Display Multiple Images, or you can map all images to the same colormap as you load them.
For example, you can use this syntax to display two images side by side.
[X1,map1]=imread('forest.tif'); [X2,map2]=imread('trees.tif'); subplot(1,2,1), imshow(X1,map1) subplot(1,2,2), imshow(X2,map2)
In the figure, note how the first image displayed, X1, appears dark after the second image is displayed.
subimage converts images to truecolor before displaying them and therefore circumvents the colormap sharing problem. This example uses subimage to display the forest and the trees images with better results.
[X1,map1]=imread('forest.tif'); [X2,map2]=imread('trees.tif'); subplot(1,2,1), subimage(X1,map1) subplot(1,2,2), subimage(X2,map2)