A Robust Lesion Boundary Segmentation Algorithm using Level Set Methods

  • E. M. Massey
  • A. Hunter
  • J. Lowell
  • D. H. Steel
Part of the IFMBE Proceedings book series (IFMBE, volume 25/11)

Abstract

This paper addresses the issue of accurate lesion segmentation in retinal imagery, using level set methods and a novel stopping mechanism - an elementary features scheme. Specifically, the curve propagation is guided by a gradient map built using a combination of histogram equalization and robust statistics. The stopping mechanism uses elementary features gathered as the curve deforms over time, and then using a ‘lesionness’ measure, defined herein, ‘looks back in time’ to find the point at which the curve best fits the real object. We compare the proposed method against five other segmentation algorithms performed on 50 randomly selected images of exudates with a database of clinician demarcated boundaries as ground truth.

Keywords

Retinal Image Analysis Segmentation Level Sets 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • E. M. Massey
    • 1
  • A. Hunter
    • 1
  • J. Lowell
    • 2
  • D. H. Steel
    • 3
  1. 1.University of LincolnLincolnUK
  2. 2.Foster Findlay Associates LimitedNewcastle Technopole Kings ManorNewcastle Upon TyneUK
  3. 3.Consultant OphthalmologistSunderland Eye InfirmarySunderlandUK

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