Detection of incomplete ellipse in images with strong noise by iterative randomized Hough transform (IRHT)

DOI10.1016/J.PATCOG.2007.09.006zbMath1131.68089OpenAlexW2083229832MaRDI QIDQ2469723

Wei Lu, Jinglu Tan

Publication date: 7 February 2008

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2007.09.006

zbMATH Keywords

ellipseimage processingHough transformultrasoundcurve detectionrandomized Hough transformfetal head

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Biomedical imaging and signal processing (92C55) Pattern recognition, speech recognition (68T10) Machine vision and scene understanding (68T45)

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Cites Work

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• Generalizing the Hough transform to detect arbitrary shapes
• Randomized or probabilistic Hough transform: unified performance evaluation
• Use of the Hough transformation to detect lines and curves in pictures
• Inherent Bias and Noise in the Hough Transform
• The dynamic generalized Hough transform: Its relationship to the probabilistic Hough transforms and an application to the concurrent detection of circles and ellipses
• Randomized Hough Transform: Improved ellipse detection with comparison
• A combinatorial Hough transform
• A new curve detection method: Randomized Hough transform (RHT)

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