Very fast ellipse detection using GPU-based RHT

Very fast ellipse detection using GPU-based RHT

An approach to very rapid computation of one class of randomized Hough transform (RHT) using parallel processing capabilities of a programmable graphics processing unit is described. The method is able to detect ellipses in real-time, even in large images. It uses fragment processing in recovering e...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Jong Kwan Lee, Wood, B.A., Newman, T.S.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Biomedical imaging
Computer graphics
Computer science
Concurrent computing
Face detection
Inspection
Manufacturing automation
Object detection
Parallel processing
Shape
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Beschreibung
Zusammenfassung:An approach to very rapid computation of one class of randomized Hough transform (RHT) using parallel processing capabilities of a programmable graphics processing unit is described. The method is able to detect ellipses in real-time, even in large images. It uses fragment processing in recovering ellipse shape parameters. Its effectiveness is evaluated through experiments on synthetic and real images.
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2008.4761168