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I have a binarized image, which I've already used open/close morphology operations on (this is as clean as I can get it, trust me on this) that looks like so:

As you can see, there is an obvious ellipse with some distortion on the top. I'm trying to figure out how to fit an ellipse to it, such that it maximizes the number of points on the fitted ellipse that correspond to edges on the shape. That is, I want a result like this:

However, I can't seem to find a way in OpenCV to do this. Using the common tools of fitEllipse (blue line) and minAreaRect (green line), I get these results:

Which obviously do not represent the actual ellipse I'm trying to detect. Any thoughts as to how I could accomplish this? Happy to see examples in Python or C++.

I have a binarized image, which I've already used open/close morphology operations on (this is as clean as I can get it, trust me on this) that looks like so:

As you can see, there is an obvious ellipse with some distortion on the top. I'm trying to figure out how to fit an ellipse to it, such that it maximizes the number of points on the fitted ellipse that correspond to edges on the shape. That is, I want a result like this:

However, I can't seem to find a way in OpenCV to do this. Using the common tools of fitEllipse (blue line) and minAreaRect (green line), I get these results:

Which obviously do not represent the actual ellipse I'm trying to detect. Any thoughts as to how I could accomplish this? Happy to see examples in Python or C++.

I have a binarized image, which I've already used open/close morphology operations on (this is as clean as I can get it, trust me on this) that looks like so:

As you can see, there is an obvious ellipse with some distortion on the top. I'm trying to figure out how to fit an ellipse to it, such that it maximizes the number of points on the fitted ellipse that correspond to edges on the shape. That is, I want a result like this:

However, I can't seem to find a way in OpenCV to do this. Using the common tools of fitEllipse (blue line) and minAreaRect (green line), I get these results:

Which obviously do not represent the actual ellipse I'm trying to detect. Any thoughts as to how I could accomplish this? Happy to see examples in Python or C++.