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Optical Engineering

Ellipse detection: a simple and precise method based on randomized Hough transform
Author(s): Zhu Teng; Jeong-Hyun Kim; Dong-Joong Kang
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Paper Abstract

We present a simple ellipse detector that accurately extracts the parameters of an ellipse based on randomized Hough transform (RHT). Ellipse detection by the conventional RHT method is challenging due to the huge calculation burden and voting complexity for the five parameters of one ellipse. To address this, we extracted formulas that separated these five parameters into two to three parameters and proposed a separated two-level voting scheme based on the RHT. The original image was first processed by edge detection, eight-zone distribution of its direction, and edge lists merging, and then the parameters were calculated and voted by the separated two-level voting scheme. Finally, an evaluation method was used to determine whether or not the detected ellipse existed in the image. We tested our method on various kinds of real images, and the experiments demonstrated that the proposed method provided a precise and efficient ellipse detection.

Paper Details

Date Published: 18 May 2012
PDF: 15 pages
Opt. Eng. 51(5) 057203 doi: 10.1117/1.OE.51.5.057203
Published in: Optical Engineering Volume 51, Issue 5
Show Author Affiliations
Zhu Teng, Pusan National Univ. (Korea, Republic of)
Jeong-Hyun Kim, Pusan National Univ. (Korea, Republic of)
Dong-Joong Kang, Pusan National Univ. (Korea, Republic of)


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