Hello,
I have a better solution as shown below which you can try.
>> I = imread('https://i.imgur.com/1Rf5lLm.png');
>> [L,n] = bwlabel(imcomplement(rgb2gray(I)));
Explanation of the above code :
- Download the image
- Convert the image to grayscale
- Complement the image so that the pixels corresponding to the circles are white
- Find the connected components (white pixels) in the image
If you find connected components without complementing the image it will show that there is only one connected component.
Here 'n' will show the number of rings in the image and 'L' is the visualization of the connected components.
For the image that you attached I get 'n' as 7 and 'L' as shown below.
The problem with your solution is that, you may miss some circles since a vector from the center may not intersect all of them.
For more details on connected components please visit the link mentioned below.
Label connected components in 2-D binary image - https://www.mathworks.com/help/images/ref/bwlabel.html
