Towards Fast and Accurate Ellipse and Semi-Ellipse Detection

Ren Jin, Hafiz Muhammad Owais, Tao Song, Defu Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Ellipse detection is an important task in machine vision and can be used to solve other high-level visual problems. In the past, many studies have been conducted by researchers at high precision ellipse fitting, but most of the proposed solutions are not fast enough to be applied in real-time detection for larger images or with limited hardware resources. This paper improves the accuracy of ellipse detection by improving the candidate ellipse scoring method and geometric constraints. Combined with ellipse fitting algorithm, the proposed method can perform real-time ellipse and semi ellipse detection. The efficiency of the algorithm is proven by using three popular datasets which shows the state of the art ellipse and semiellipse detection performance.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings
PublisherIEEE Computer Society
Pages743-747
Number of pages5
ISBN (Electronic)9781479970612
DOIs
Publication statusPublished - 29 Aug 2018
Event25th IEEE International Conference on Image Processing, ICIP 2018 - Athens, Greece
Duration: 7 Oct 201810 Oct 2018

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference25th IEEE International Conference on Image Processing, ICIP 2018
Country/TerritoryGreece
CityAthens
Period7/10/1810/10/18

Keywords

  • Ellipse detection
  • Ellipse fitting
  • Semiellipse

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