Steve on Image Processing with MATLAB

Image processing concepts, algorithms, and MATLAB


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MATLAB image display – grayscale and binary images

In my previous posts (February 9, February 22, and February 29), I discussed the truecolor and indexed image display models in MATLAB, as well as the direct and scaled variations of indexed display. The Image Processing Toolbox has conventions for two additional image display models: grayscale and binary. These conventions are used by the MATLAB image display function imshow, which originated in the Image Processing Toolbox.


Grayscale image display

If you pass a single argument to imshow, it interprets the input as a grayscale image. Here's an illustration using a simple sinusoid:

theta = linspace(0, 2*pi, 256);
I = repmat((-cos(2*theta) + 1)/2, [256 1]);
im = imshow(I);

As far as the MATLAB Graphics system is concerned, this is a scaled indexed image being displayed in a figure with a grayscale colormap installed. Here are the key properties that have been set to control the image display:

ax = gca;
fig = gcf;

ans =


ans =

     0     1

map = fig.Colormap;
ans =

         0         0         0
    0.0039    0.0039    0.0039
    0.0078    0.0078    0.0078
    0.0118    0.0118    0.0118
    0.0157    0.0157    0.0157

The function imshow handles all these details for you.

Controlling the grayscale display range

Using imshow, you can override the conventional display range and specify your own black and white values. You do this by providing a second input argument, a two-element vector containing the black and white values. In the call to imshow below, 0.4 (and any lower value) gets displayed as black. The value 0.6 (and any higher value) gets displayed as white.

imshow(I, [0.4 0.6])

Binary image display

The other Image Processing Toolbox image display model is the binary image. If you supply a single input argument that is logical, then imshow (as well as many other toolbox functions) interpret that input as a binary image.

bw = imread('text.png');
ans =



Published with MATLAB® R2016a

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