Screening diabetic retinopathy through color retinal images

Qin Li, Xue Min Jin, Quan Xue Gao, Jia You, Prabir Bhattacharya

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

3 Citations (Scopus)


Diabetic Retinopathy (DR) is a common complication of diabetes that damages the eye's retina. Recognition DR as early as possible is very important to protect patients' vision. We propose a method for screening DR and distinguishing Prolifetive Diabetic Retinopathy (PDR) from Non-Prolifetive Retinopathy (NPDR) automatatically through color retinal images. This method evaluates the severity of DR by analyzing the appearnce of bright lesions and retinal vessel patterns. The bright lesions are extracted through morphlogical reconsturction. After that, the retinal vessels are automatically extracted using multiscale matched filters. Then the vessel patterns are analyzed by extracting the vessel net density. The experimental results domonstrate that it is a effective solution to screen DR and distinguish PDR from NPDR by only using color retinal images.
Original languageEnglish
Title of host publicationMedical Biometrics - First International Conference, ICMB 2008, Proceedings
Number of pages8
Publication statusPublished - 1 Feb 2008
Event1st International Conference on Medical Biometrics, ICMB 2008 - Hong Kong, Hong Kong
Duration: 4 Jan 20085 Jan 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4901 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference1st International Conference on Medical Biometrics, ICMB 2008
Country/TerritoryHong Kong
CityHong Kong

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


Dive into the research topics of 'Screening diabetic retinopathy through color retinal images'. Together they form a unique fingerprint.

Cite this