A new curve detection method: randomized Hough transform (RHT)
Pattern Recognition Letters
A probabilistic Hough transform
Pattern Recognition
Scale- and orientation-invariant generalized Hough transform—a new approach
Pattern Recognition
The Hough Transform Versus the UpWrite
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct Least Square Fitting of Ellipses
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Technique for Ellipse Detection Using Restricted Randomized Hough Transform
ITCC '04 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2 - Volume 2
A multi-population genetic algorithm for robust and fast ellipse detection
Pattern Analysis & Applications
A Compound and Robust Algorithm for Ellipse Detection
ICAT '06 Proceedings of the 16th International Conference on Artificial Reality and Telexistence--Workshops
Ellipse detection using a randomized hough transform based on edge segment merging scheme
ISPRA'07 Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation
Computer Methods and Programs in Biomedicine
Machine Vision and Applications
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This paper proposes a new ellipse detection scheme using curve segments. It detects curve segments in an edge image and selects every pair of them to test whether they pertain to the same ellipse or not. If they pass the test, they are merged as a new segment. Since the proposed algorithm uses curve segments, it reduces the computation time of the conventional algorithm significantly, and detects all ellipses included in an image without missing. The experimental results have shown that its performance is more successful than other approaches in detection of ellipses when they are overlapped and partially occluded.