Multiple ellipses detection in noisy environments: A hierarchical approach

DOI10.1016/j.patcog.2009.01.028zbMath1176.68184OpenAlexW2085137453MaRDI QIDQ2270701

Hong Qiao, Zhi-yong Liu

Publication date: 29 July 2009

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2009.01.028

zbMATH Keywords

shape detectionnoisy environmentellipse detection

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05)

Related Items (1)

Unnamed Item

Uses Software

• AS 136

Cites Work

• Algorithm AS 136: A K-Means Clustering Algorithm
• A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving
• A hierarchical approach for fast and robust ellipse extraction
• Multisets mixture learning-based ellipse detection
• A robust, real-time ellipse detector
• Randomized Hough Transform: Improved ellipse detection with comparison
• A new curve detection method: Randomized Hough transform (RHT)

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