Getting Started |
Images
Two-dimensional arrays can be displayed as images, where the array elements determine brightness or color of the images. For example, the statements
load durer whos Name Size Bytes Class X 648x509 2638656 double array caption 2x28 112 char array map 128x3 3072 double array
load the file durer.mat
, adding three variables to the workspace. The matrix X
is a 648-by-509 matrix and map
is a 128-by-3 matrix that is the colormap for this image.
MAT-files, such as durer.mat
, are binary files that can be created on one platform and later read by MATLAB on a different platform.
The elements of X
are integers between 1 and 128, which serve as indices into the colormap, map
. Then
reproduces Dürer's etching shown at the beginning of this book. A high-resolution scan of the magic square in the upper right corner is available in another file. Type
and then use the up arrow key on your keyboard to reexecute the image
, colormap
, and axis
commands. The statement
adds some twentieth century colorization to the sixteenth century etching. The function hot
generates a colormap containing shades of reds, oranges, and yellows. Typically a given image matrix has a specific colormap associated with it. See the colormap
reference page for a list of other predefined colormaps.
Reading and Writing Images
You can read standard image files (TIFF, JPEG, BMP, etc.) into MATLAB using the imread
function. The type of data returned by imread
depends on the type of image you are reading.
You can write MATLAB data to a variety of standard image formats using the imwrite
function. See the reference pages for these functions for more information and examples.
For More Information See Displaying Bit-Mapped Images in the MATLAB documentation for information on the image processing capabilities of MATLAB. |
Mesh and Surface Plots | Printing Graphics |
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