Steve on Image Processing with MATLAB

Image processing concepts, algorithms, and MATLAB


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Determining point positions in MRI peg phantom

Blog reader Jonathan from St. Jude Children's Research Hospital sent me an image derived from an MRI peg phantom:

bw = imread('');

Jonathan wanted to know how to determine the position of each point. The functions bwlabel andregionprops do the trick.

The function bwlabel takes a binary image and figures which groups of white pixels are connected to each other.

L = bwlabel(bw);

The output L is called a label matrix. It has the same size as bw and contains nonnegative integers. Each positive integer value corresponds to a particular object. For example, to display the 10th object, just compare L to 10:

imshow(L == 10)

The function regionprops computes a number of different geometric properties of all the different regions contained in a label matrix. All we need for this application is the centroid:

s = regionprops(L, 'Centroid')
s = 

205x1 struct array with fields:

The size of the structure array s tells you the number of labeled objects: 205. The centroid of the 10th object is:

centroid_10 = s(10).Centroid
centroid_10 =

   44.1687   77.8072

Here's a simple way to superimpose the centroid locations onto the original image:

hold on
for k = 1:numel(s)
    plot(s(k).Centroid(1), s(k).Centroid(2), 'x')
hold off

Thanks for letting me show this image in the blog, Jonathan.

Published with MATLAB® 7.2

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