Segmentation Algorithm of the Valid Region in Fisheye Images Using Edge and Region Information

Tongxin DU, Bin FANG, Mingliang ZHOU, Henjun ZHAO, Weizhi XIAN, Xuegang WU

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

2 Citations (Scopus)

Abstract

In this paper, we propose a method to segment the valid region of fisheye images. First, we construct an objective function with three terms, which are the region driving term, the edge driving term and the length regularization term. Second, we minimize this objective function by a modified gradient descent method to find the best segmentation result. Our method can achieve valid region segmentation by making use of both region information and edge information. Experiments show that the proposed method can deal with blurred edges, halation noise and incomplete valid region problems.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Image Processing, ICIP 2020 : Proceedings
PublisherIEEE
Pages468-472
Number of pages5
ISBN (Electronic)9781728163956
DOIs
Publication statusPublished - Oct 2020
Externally publishedYes
Event2020 IEEE International Conference on Image Processing, ICIP 2020 - Virtual, Abu Dhabi, United Arab Emirates
Duration: 25 Sept 202028 Sept 2020

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2020-October
ISSN (Print)1522-4880

Conference

Conference2020 IEEE International Conference on Image Processing, ICIP 2020
Country/TerritoryUnited Arab Emirates
CityVirtual, Abu Dhabi
Period25/09/2028/09/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

  • ellipse outline
  • Fisheye image
  • halation noise
  • level set segmentation

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