Automatic phase-based edge detection of corneal Sheimpflug images

Chunhong Ji, Jinhua Yu, Yuanyuan Wang, Tianjie Li, Lei Tian, Yongping Zheng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

In this paper, a new method is proposed for automatic edge detection of the front and back corneal contours in the frame of Sheimpflug images. First, we enhance the contrast and reduce noises including speckle and eyelashes as the preprocessing procedure. Then we use the method of phase symmetry and phase asymmetry to get energy images. Finally, we trace the center line of the cornea and then the upper and lower curves. We validated the proposed segmentation method on a series of videos collected by the department of Chinese PLA General Hospital. The results shows that the proposed method provides equivalent performance as the manual method and better performance than built-in method of the machine. In addition, it is demonstrated that the proposed method is more robust to noise and provides more accurate segmentation results under the presence of eyelashes than other traditional edge detection methods.
Original languageEnglish
Title of host publicationProceedings - 2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014
PublisherIEEE Computer Society
Pages840-843
Number of pages4
ISBN (Print)9781479945658
DOIs
Publication statusPublished - 1 Jan 2014
Event2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014 - Ottawa, ON, Canada
Duration: 8 May 20149 May 2014

Conference

Conference2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014
CountryCanada
CityOttawa, ON
Period8/05/149/05/14

Keywords

  • contour detection
  • cornea
  • Corvis ST
  • Sheimpflug imaging

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this