Much of the work on image segmentation that I do requires an initial guess of the answer. This initialization gives the algorithm something to improve. Hopefully, it improves all the way to the correct answer. You can use any manner of contour as an initialization. I like to select slightly different contours while I’m testing to make sure I’m not ‘over-tuning’ my system for some specific set of initial conditions.
Sometimes, it is preferable to use a very close initial outline like this:
(by the way, if you are interested in initializations like this see this code)
However, when you are trying to demonstrate the robustness of your technique (and/or you don’t want to waste time drawing a complicated contour) it is nice to use geometric shapes. Squares are popular, and can be captured using this simple Matlab code.
>>[rect] = getrect(1);
Many things in life are shaped more like ellipses, though. For this case, there are no built-in Matlab functions to get this type of initialization. Fear not! I wrote some simple code that allows you to capture graphically (or define in terms of parameters) an ellipse very simply. The params are major and minor radius (a, b), center location (x0, y0) and angle of rotation (rho).
>>[mask, a, b, x0, y0, rho] = get_ellipse(I, a, b, x0, y0, rho);
Here is an example of the type of initialization you can get (shown in white). Also in the image below you can see the final segmentation in green.
Download this .m file and try it out yourself.