How to ellipse fitting the object
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how to ellipse fitting the object?
2 Comments
Image Analyst
on 26 Mar 2013
Background: Leon has already seen Matt J's code for fitting an ellipse: http://www.mathworks.com/matlabcentral/answers/53525#answer_65140
This newer version is better:
Answers (1)
Image Analyst
on 26 Mar 2013
Edited: Image Analyst
on 26 Mar 2013
0 votes
regionprops() can do that. It give the major axis, minor axis, and orientation for each blob in the image.
You may also want to see this paper: http://www.ecse.rpi.edu/homepages/qji/Papers/ellipse_det_icpr02.pdf
3 Comments
L
on 7 Mar 2021
Edited: Image Analyst
on 7 Mar 2021
Hello,
This is an interesting topic. I have found few comments from you related to this topic. I have few questions since you are an expert (your comments are always very valuable).
- regionprops() measures the parameters of one ellipse, or the parameters of all ellipses in the image?
- What should be done if there are multiple ellipses with various dimensions? Can regionprops() handle that option?
- Also, is it possible to modify the imfindcircles() to detect ellipses? Specially multiple ellipses, maybe attacked with noise too? This is a newer function in Matlab, it is pretty clear for circle detecion, but for the ellipses?
Image Analyst
on 7 Mar 2021
Edited: Image Analyst
on 7 Mar 2021
- regionprops() measures only the angle, centroid, and major and minor axis lengths. It does not give a full (x,y) equation.
- regionprops() can handle multiple blobs in an image. You can return the results in a structure array (the default) or a table (if you specify the 'table' input option).
- I don't know if it's possible to modify imfindcircles() to find ellipses. You can try to program up the attached paper if you want to find ellipses.
Also see this answer:
and my attached demo.
L
on 10 Mar 2021
Thank you.
Also, is it possible to use the imfindcircles() as an texture detector? Something like a Gabor filter, to highlight the curve-shaped textures?
I saw the paper that you have attached. But, what happens if the image is noisy? The method in the paper could be ssensitive in noise.
This is the reason I would try to detect the texutres first. Later, maybe the detection method would be combined with texture analysis.
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