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Generalized
Hough Transformation |
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This applet demonstrates the Hough transformation for general shapes.
It detects any shape in the image space by finding clusters in the Hough
space. How to use the applet Below you can see three images, two big ones and a small one. The
first big image on the left is the input image. This is the image where all
shapes are searched in. The image on the right side shows the Hough space.
You can detect probable shapes in the input image by finding clusters in the
Hough space. The small image shows the active template. The shape that can be
seen in this image will be searched. The red point on the upper left of the template image is the reference point of the Hough
transformation. To change the template image use the To choose other input images with alternative shapes press the Downloads |
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Authors:
René Iser, Behrang Karimibabak
and Simon Winkelbach |
-button.When the applet starts just a black picture is
loaded. You can draw your own shapes in this image by dragging the mouse
pointer over it. If you do so observe the Hough space and see the growing
maxima. If you want to delete your work press the 
-button. When you just move the mouse over the input
image a blue rectangle with the template shape in it appears on the right
picture. This is the Hough transformation of the point that would be add in
the Hough space if you draw a dot by pressing the mouse button now.
-button. The mouse pointer over the
Hough space produces a red rectangle on the left image. This is the assumed
position of the template shape. You can instruct the applet to find some
clusters automatically by pressing the 
-button. Then you are requested to choose the number of maxima that
should be found in the input image. The positions of the clusters in the
Hough space are marked by green rectangles whereas the assumed positions of
the shapes in the input image are marked by red rectangles. To let them disappear
just press the left mouse button.