Fitting ellipses and predicting confidence envelopes using a bias corrected Kalman filter
Image and Vision Computing - Special issue: 5th Alvey vision meeting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ellipse detection and matching with uncertainty
Image and Vision Computing - Special issue: BMVC 1991
Fuzzy clustering of elliptic ring-shaped clusters
Pattern Recognition Letters
Direct Least Square Fitting of Ellipses
IEEE Transactions on Pattern Analysis and Machine Intelligence
From the Hough transform to a new approach for the detection and approximation of elliptical arcs
Computer Vision and Image Understanding
Nonparametric Segmentation of Curves into Various Representations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hi-index | 0.00 |
The conic fitting from image points is a very old topic in pattern recognition. We propose here some new ideas of handling the difficult situations where the noised data span a small section of the conic. This new fitting process takes into account explicitly the maximum and minimum total arc length of the conic curves to constraint the conic search space. Our algorithm compared with some procedures of reference gives improved results. A confidence envelope is then estimated to direct the search for continuations of the ellipse. Considering the data organization resolved, we propose then a complete extraction scheme based on a fuzzy set representation of the fitting.