## Steve on Image Processing with MATLABImage processing concepts, algorithms, and MATLAB

Note

Steve on Image Processing with MATLAB has been archived and will not be updated.

# Image visualization using transparency

Transparent graphics objects can be used effectively to visualize image processing concepts. Two particularly useful techniques are:

• Highlighting image regions with transparent patches
• Displaying one image transparently over another

Today I'll show how to highlight image regions with patches. For this example I'll use the 'Extrema' measurement returned by regionprops. The extrema for a given object are eight points: the left-most pixel on the bottom, the right-most pixel on the bottom, the top-most pixel on the right, the bottom-most pixel on the right, and so on.

I'll start with the rice image, segmenting it using techniques I've shown before.

I = imread('rice.png');
imshow(I)

Even out the illumination with the tophat operator, threshold, and then clean up the thresholded image a bit.

I2 = imtophat(I, ones(15, 15));
bw = im2bw(I2, graythresh(I2));
bw2 = bwareaopen(bw, 5);
bw3 = imclearborder(bw2);
imshow(bw3)

Label the binary objects and compute the extrema.

L = bwlabel(bw3);
s = regionprops(L, 'Extrema');

Each object has 8 extrema points associated with it.

s(1).Extrema
ans =

11.5000   86.5000
12.5000   86.5000
34.5000  100.5000
34.5000  102.5000
33.5000  103.5000
27.5000  103.5000
9.5000   89.5000
9.5000   87.5000



We can superimpose the extrema-bounded shapes on top of the original rice image by using patch objects.

imshow(I)

hold on
for k = 1:numel(s)
x = s(k).Extrema(:,1);
y = s(k).Extrema(:,2);
patch(x, y, 'g')
end
hold off

The above visualization is pretty clear. If you zoom in on some of the odd, larger shapes, though, you can't really tell what's going on.

axis([120 200 1 75])

We solve that by displaying the patches transparently.

imshow(I)

hold on
for k = 1:numel(s)
x = s(k).Extrema(:,1);
y = s(k).Extrema(:,2);
patch(x, y, 'g', 'FaceAlpha', 0.3)
end
hold off

Now if you zoom in on the same region, we can see exactly what caused the unusual region.

axis([120 200 1 75])

Two of the rice grains were touching.

Next time I'll show a couple of techniques for visualizing one image transparently superimposed on another.

Published with MATLAB® 7.6

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