DocumentCode
3149055
Title
EDCircles: Real-time circle detection by Edge Drawing (ED)
Author
Akinlar, Cuneyt ; Topal, Cihan
Author_Institution
Comput. Eng. Dept., Anadolu Univ., Eskisehir, Turkey
fYear
2012
fDate
25-30 March 2012
Firstpage
1309
Lastpage
1312
Abstract
We propose a real-time, parameter-free circle detection algorithm that produces accurate results with very few false positives. The algorithm makes use of the contiguous (connected) set of edge segments produced by our novel edge segment detector, the Edge Drawing (ED) algorithm; hence the name EDCircles. The proposed algorithm first fits line segments to ED´s edge segments and then processes these line segments to detect circles in a given image. We show through experimentation that EDCircles works real-time, produces good results, and is very suitable for the next generation real-time automation applications including automatic inspection of manufactured products, human eye iris and pupil detection, circular traffic sign detection, etc.
Keywords
edge detection; image segmentation; ED algorithm; EDcircles; circular traffic sign detection; edge drawing algorithm; edge segment detector; human eye iris detection; line segments; manufactured product automatic inspection; next generation real-time automation applications; parameter-free circle detection algorithm; pupil detection; real-time circle detection; real-time circle detection algorithm; Decision support systems; Circular Traffic Sign Detection; EDLines; Edge Drawing Algorithm; Eye Pupil Detection; Real-Time Circle Detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location
Kyoto
ISSN
1520-6149
Print_ISBN
978-1-4673-0045-2
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2012.6288130
Filename
6288130
Link To Document