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| 2012-12-17 10:04:13 -0600 | commented answer | Detect/Fitting Circles Hi, I was very excited when I see your code running without second thought. In fact, this is not what I wanted. Your approach assume the outer and inner circle share the same centre. But what I really need is find the outer/inner circle independently and check if they have the same centre. Thanks anyway, your example is helpful. KC |
| 2012-12-17 03:20:21 -0600 | commented answer | Detect/Fitting Circles Just another question. The HoughCircles() usually does not return a single circle. It usually return a lot of circle; sometime no circle at all ... what's the trick to turn the image or parameters to let HoughCircles() to return single circle ? Is the general rules existed ? |
| 2012-12-17 02:40:03 -0600 | commented answer | Detect/Fitting Circles Cool, this is what I expected !! I think I got the point, thanks a lot :-) |
| 2012-12-15 10:24:00 -0600 | commented answer | Detect/Fitting Circles Hi, I did try different parameters' setup for cvHoughCircles() ... a lot of circles will be detected, but no one will fit the inner/empty circle :-( I need to know the center and radius correctly (this is a measurement application), and I do know the approximate center and radius ... any suggestion to handle this kind of "tooth" like circle ? Thanks a lot. |
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| 2012-12-14 11:02:20 -0600 | asked a question | Detect/Fitting Circles Hi If you look at this image:
It's easy to find by human eyes that there are 3 circles which share the same center. How could I detect/fit these 3 circles ? I try cvFindContours() but the middle and inner circles are detected as a single contours. I also try cvHoughCircles(), it give me a lot of circles ... but not the 3 circles I expected. What should I do for this kind of situation ? I'm new in computer vision, is this an easy question ? Or this is a known difficult problem ? Regards KC |
