Investigating Post-processing of Scanning Laser Ophthalmoscope Images for Unsupervised Retinal Blood Vessel Detection

Gavin Robertson*, Enrico Pellegrini, Calum Gray, Emanuele Trucco, Tom MacGillivray

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We explore post-processing of scanning laser ophthalmoscope (SLO) images for the automatic detection of retinal blood vessels. The retinal vasculature is first enhanced using morphological and Gaussian matched filters before a thresholding technique produces a binary vessel map. Such permutations of post-processing techniques are commonly used to achieve unsupervised classification of the vasculature in fundus images, and it is the purpose of this study to investigate their applicability to SLO imaging. We compare the results of vascular detection as performed on SLO and fundus images.

Original languageEnglish
Title of host publication2013 IEEE 26TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS)
EditorsPP Rodrigues, M Pechenizkiy, J Gama, RC Correia, J Liu, A Traina, P Lucas, P Soda
Place of PublicationNEW YORK
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages441-444
Number of pages4
Publication statusPublished - 2013
Event26th IEEE International Symposium on Computer-Based Medical Systems (CBMS) - Porto, Portugal
Duration: 20 Jun 201322 Jun 2013

Conference

Conference26th IEEE International Symposium on Computer-Based Medical Systems (CBMS)
CountryPortugal
Period20/06/1322/06/13

Keywords

  • SEGMENTATION
  • RECONSTRUCTION
  • STROKE

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