STANDARD HOUGH TRANSFORM TO DETECT ELLIPSE AND CIRCLES
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i'm doing some final project in my campus, my topic is to analyze the difference between ellipse and circle detection using STANDARD HOUGH TRANSFORM now my problem is, i want to reconstruct the ellipse or the circle i've detect with hough transform, but i dont know how..
can anybody help me with this: .reconstruct the ellipse or the circle .is feature extraction needed for this kind of project? .how can i detect ellipse or circle with any noise above the object, for example a pen i put above the circle object..
here's the sample of a circle i want to detect : http://i1306.photobucket.com/albums/s578/andripranatakusuma/image12.jpg
here's the sample of a ellipse i want to detect : http://i1306.photobucket.com/albums/s578/andripranatakusuma/image15.jpg
i appreciate any kind of help, thank you :)
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Harshit
2012-11-7
A simple solution is for say a circle of radius r. Pick up 10000 (any large number ) values between -r and r and feed them in variable x. Get y using circle equation. plot(x,y) and take a reflection along x axis.
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