CData property of an image object contains
the data array. In the following commands,
the handle of the image object created by
and the matrices
h = image(X); colormap(map) Y = get(h,'CData');
The dimensionality of the
CData array controls
whether the image displays using colormap colors or as an RGB image.
CData array is two-dimensional, the image
is either an indexed image or an intensity image; in either case,
the image is displayed using colormap colors. If, on the other hand,
CData array is m-by-n-by-3,
it displays as a truecolor image, ignoring the colormap colors.
CDataMapping property controls whether
an image is
To display an indexed image set the
'direct', so that the values of the
are used directly as indices into the figure's colormap. When the
is used with a single input argument, it sets the value of
h = image(X); colormap(map) get(h,'CDataMapping') ans = direct
Intensity images are displayed by setting the
'scaled'. In this case, the
are linearly scaled to form colormap indices. The axes
controls the scale factors. The
creates an image object whose
is set to
'scaled', and it adjusts the
of the parent axes. For example:
h = imagesc(I,[0 1]); colormap(map) get(h,'CDataMapping') ans = scaled get(gca,'CLim') ans = [0 1]
The left column of the image has an x-coordinate of 1.
The right column of the image has an x-coordinate of n.
The top row of the image has a y-coordinate of 1.
The bottom row of the image has a y-coordinate of m.
Use Default Coordinate System
Display an image using the default coordinate system. Use colors from the
C = [1 2 3 4; 5 6 7 8; 9 10 11 12]; im = image(C); colormap(colorcube)
Specify Coordinate System
Display an image and specify the coordinate system. Use colors from the
C = [1 2 3 4; 5 6 7 8; 9 10 11 12]; x = [-1 2]; y = [2 4]; figure image(x,y,C) colormap(colorcube)
This example shows how to use array indexing to rasterize text strings into an existing image.
Draw the text in an axes using the
text function. Then, capture the text from the screen using
getframe and close the figure.
fig = figure; t = text(.05,.1,'Mandrill Face','FontSize',20,'FontWeight','bold'); F = getframe(gca,[10 10 200 200]); close(fig)
Select any plane of the resulting RGB image returned by
getframe. Find the pixels that are black (black is 0) and convert their subscripts to indexes using
sub2ind. Use these subscripts to "paint" the text into the image contained in the
mandrill MAT-file. Use the size of that image, plus the row and column locations of the text to determine the locations in the new image. Index into new image, replacing pixels.
c = F.cdata(:,:,1); [i,j] = find(c==0); load mandrill ind = sub2ind(size(X),i,j); X(ind) = uint8(255);
Display the new image using the bone colormap.
imagesc(X) colormap bone
To increase the rate at which the
of an image object updates, optimize
set some related figure and axes properties:
Use the smallest data type possible. Using a
type for your image will be faster than using a
Part of the process of setting the image's
includes copying the matrix for the image's use. The overall size
of the matrix is dependent on the size of its individual elements.
Using smaller individual elements (i.e., a smaller data type) decreases
matrix size, and reduces the amount of time needed to copy the matrix.
Use the smallest acceptable matrix.
If the speed at which the image is displayed is your highest priority, you may need to compromise on the size and quality of the image. Again, decreasing the size reduces the time needed to copy the matrix.
Set the limit mode properties (
of your axes to
If they are set to
auto, then every time
an object (such as an image, line, patch, etc.) changes some aspect
of its data, the axes must recalculate its related properties. For
example, if you specify
image(firstimage); set(gca, 'xlimmode','manual',... 'ylimmode','manual',... 'zlimmode','manual',... 'climmode','manual',... 'alimmode','manual');
the axes do not recalculate any of the limit values before redrawing the image.
Consider using a
if the main point of your task is to simply display a series of images
movie object utilizes underlying
system graphics resources directly, instead of executing MATLAB object
code. This is faster than repeatedly setting an image's
as described earlier.