Automated retinal vessel segmentation using multiscale analysis and adaptive thresholding

Qin Li, Jia You, Lei Zhang, Prabir Bhattacharya

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

10 Citations (Scopus)

Abstract

Computer based analysis for automated segmentation of blood vessels in retinal images will help eye care specialists screen larger populations for vessel abnormalities. Because the width of retinal vessels can vary from very large to very small, and the local contrast of vessels is unstable especially in unhealthy ocular fundus, the automated retinal segmentation is difficult. We propose a novel method with the consideration of these problems. Our method includes 1) a multiscale analysis scheme using Gabor filters and scale production, 2) an adaptive thresholding scheme using adaptive tracking and morphological filtering. Our method is good for detecting large and small vessels concurrently. It is also efficient to denoise and enhance the responses of line filters so that the vessels with low local contrast can be detected.
Original languageEnglish
Title of host publication7th IEEE Southwest Symposium on Image Analysis and Interpretation
Pages139-143
Number of pages5
Volume2006
Publication statusPublished - 21 Nov 2006
Event7th IEEE Southwest Symposium on Image Analysis and Interpretation - Denver, CO, United States
Duration: 26 Mar 200628 Mar 2006

Conference

Conference7th IEEE Southwest Symposium on Image Analysis and Interpretation
Country/TerritoryUnited States
CityDenver, CO
Period26/03/0628/03/06

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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