To include the missing segments in the fitted ellipse, try these approaches:
Weighted Fitting: Assign higher weights to the points in the missing segments using scipy.optimize.least_squares for weighted ellipse fitting.
Add Missing Points: Manually add synthetic points along the missing segments and refit the ellipse using cv2.fitEllipse.
Custom Optimization: Use scipy.optimize.minimize to define a custom loss function that prioritizes including the missing parts in the fit.
These methods give more control than RANSAC or cv2.fitEllipse.