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Randomized Hough transform: better ellipse detection

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1 Author(s)
R. A. McLaughlin ; Centre for Intelligent Inf. Process. Syst., Western Australia Univ., Nedlands, WA, Australia

Standard methods of ellipse detection are slow and memory intensive. We present a new algorithm using the randomized Hough transform. The algorithm is demonstrated on both synthetic images and simple real-world images. It is found to be fast, memory efficient and accurate with images containing multiple ellipses and noise

Published in:

TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications  (Volume:1 )

Date of Conference:

26-29 Nov 1996