Steve on Image Processing with MATLAB

Image processing concepts, algorithms, and MATLAB

All about pixel colors: Truecolor and indexed images

Note

See the following posts for new or updated information about this topic:

  • MATLAB image display - from data values to pixel colors
  • MATLAB image display - truecolor and indexed images
  • MATLAB image display - scaled indexed images
  • MATLAB image display - grayscale and binary images
  • MATLAB image display - autoscaling values with imshow
  • Last week I posed this question: How does MATLAB associate the value of a particular matrix element with a color displayed on the screen? Let's start by exploring MATLAB's two basic pixel-color display models:

    • Matrix element values specify pixel colors directly
    • Matrix element values specify pixel colors indirectly, through the figure's colormap

    Contents

    Truecolor images

    The matrix (or array) of pixel values is stored in the Handle Graphics image object's CData property. If the CData array is a three-dimensional array with size M-by-N-by-3, then the pixel values specify the colors directly as a mix of red (first plane), green (second plane), and blue (third plane). We sometimes call such an image a "truecolor" image. (I believe this term originated in the computer graphics display industry. Someone please correct me if I'm wrong.)

    Here's an illustrative image with just three pixels: red, blue, and yellow.

    plane_1 = [1 0 1];
    plane_2 = [0 0 1];
    plane_3 = [0 1 0];
    rgb = cat(3, plane_1, plane_2, plane_3);
    size(rgb)
    
    image(rgb)
    axis image
    title('Truecolor image with one red, one blue, and one yellow pixel')
    ans =
    
         1     3     3
    
    

    With truecolor images, changing the colormap has no effect on the image colors displayed.

    colormap(hot)
    title('Changing the figure colormap does not affect the pixel colors')

    Indexed images

    If the image CData is two-dimensional, then the CData values are treated as lookup indices into the figure's colormap. As an example, let's use an indexed image that ships with MATLAB, clown.mat (Ned's favorite).

    s = load('clown')  % This the functional form of load.  This form returns
                       % a structure whose fields are the variables stored
                       % in the MAT-file.
    s = 
    
              X: [200x320 double]
            map: [81x3 double]
        caption: [2x1 char]
    
    

    The X and map variables stored in clown.mat are both necessary to display the image correctly. X contains the pixel values, and map contains the associated colormap.

    To get the color of the (5,5) pixel, first see what X(5,5) is:

    s.X(5,5)
    ans =
    
        61
    
    

    Then use that value as a row index into the colormap matrix, map:

    s.map(61,:)
    ans =
    
        0.9961    0.5781    0.1250
    
    

    So the (5,5) pixel has a lot of red, some green, and a small amount of blue.

    Displaying the image requires two MATLAB commands, one to create the image and one to set the figure's colormap:

    image(s.X)
    colormap(s.map)
    title('Indexed image')

    Unlike truecolor images, indexed images are affected by changes in the figure's colormap.

    colormap(cool)
    title('Indexed image displays incorrectly if you use the wrong colormap')

    In my first post on this subject, I suggested that there might really be three pixel-color display models in MATLAB instead of two. The third display model is a variation of the indexed image model.

    I'll talk about that next time.




    Published with MATLAB® 7.1

    |
    • print

    댓글

    댓글을 남기려면 링크 를 클릭하여 MathWorks 계정에 로그인하거나 계정을 새로 만드십시오.