Detailed Information

Cited 0 time in webofscience Cited 36 time in scopus
Metadata Downloads

A new algorithm for ellipse detection by curve segments

Authors
Hahn, KwangsooJung, SungcheolHan, YoungjoonHahn, Hernsoo
Issue Date
1-Oct-2008
Publisher
ELSEVIER SCIENCE BV
Keywords
ellipse fitting; curve segments; occluded object
Citation
PATTERN RECOGNITION LETTERS, v.29, no.13, pp.1836 - 1841
Journal Title
PATTERN RECOGNITION LETTERS
Volume
29
Number
13
Start Page
1836
End Page
1841
URI
http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/16789
DOI
10.1016/j.patrec.2008.05.025
ISSN
0167-8655
Abstract
This paper proposes a new ellipse detection scheme using curve segments. It detects curve segments in an edge image and selects every pair of them to test whether they pertain to the same ellipse or not. if they pass the test, they are merged as a new segment. Since the proposed algorithm uses curve segments, it reduces the computation time of the conventional algorithm significantly, and detects all ellipses included in an image without missing. The experimental results have shown that its performance is more successful than other approaches in detection of ellipses when they are overlapped and partially occluded. (C) 2008 Elsevier B.V. All rights reserved.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Information Technology > ETC > 1. Journal Articles
College of Information Technology > Department of Smart Systems Software > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Han, Young jun photo

Han, Young jun
College of Information Technology (Department of Smart Systems Software)
Read more

Altmetrics

Total Views & Downloads

BROWSE