Small retinal vessels extraction towards proliferative diabetic retinopathy screening

Girish Singh Ramlugun, Vivek Krishna Nagarajan, Chandan Chakraborty

Research output: Contribution to journalArticlepeer-review

80 Citations (Scopus)


This paper introduces a systematic approach for segmentation of retinal blood vessels towards the diagnosis of proliferative diabetic retinopathy (PDR) from digital fundus images. Here, 2D-Match (Gabor) filters are used on digital fundus images in which the vessels are enhanced by contrast-limited adaptive histogram equalization (CLAHE). A double sided thresholding scheme is then used to segment the vessels. Hysteresis thresholding is performed with the large and small vessels clipped at different intensity levels in order to reconstruct the vessels in the image. This vessel extraction technique leads to high accuracy (93.1%) in comparison with the ground truth images provided in the DRIVE database.

Original languageEnglish
Pages (from-to)1141-1146
Number of pages6
JournalExpert Systems with Applications
Issue number1
Publication statusPublished - 01-01-2012
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence


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