Title :
A Fast Ellipse Detection Method in Planar Target Image
Author :
Shengnan, Zhang ; Shuang, Yang ; Lianqiang, Niu ; Weiqi, Yuan
Author_Institution :
Shenyang Univ. of Technol., Shenyang, China
fDate :
July 31 2012-Aug. 2 2012
Abstract :
Aim at the target image with high quality and strong regular pattern, a fast ellipse detection method is presented in this paper. According to the topological structure of the target pattern, the method quickly collects edge points and calculates the possible ellipses, then verifies the possible ellipses to further determine the final correct geometric parameters of ellipses by using the ellipse raster conversion process. The proposed method does not depend on edge detection and spatial transformation operation, it significantly reduces the amount of calculation. Experimental results demonstrate that this method not only can guarantee the extraction accuracy, but also meet the requirement of fast on-line detection of the target image.
Keywords :
computational geometry; edge detection; feature extraction; topology; edge point collection; ellipse raster conversion process; extraction accuracy; fast-ellipse detection method; geometric parameters; image quality; online planar target image detection; regular image pattern; topological structure; Accuracy; Arrays; Equations; Feature extraction; Image edge detection; Mathematical model; Transforms; Ellipse Detection; Ellipse Rraster Conversion; Planar Ttarget;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2012 Third International Conference on
Conference_Location :
GuiLin
Print_ISBN :
978-1-4673-2217-1
DOI :
10.1109/ICDMA.2012.10