Segmentation of Optic Nerve Head Using Two-stage Snakes in Generalized Gradient Vector Field

J. R. Harish Kumar, Sayan Dutta, Avinash Sonthalia, Namratha Pai

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

1 Citation (Scopus)

Abstract

We propose a generalized gradient vector field based two-stage affine snakes method for the segmentation of optic nerve head in retinal fundus images. We obtain the course segmentation using affine transformation of an elliptical shape prior that tends to converge iteratively based on the force computations in generalized gradient vector field of the fundus image. We optimize six affine parameters out of which two for scaling, two for shearing, and two for translation of the shape prior. We obtain the fine segmentation using point snakes algorithm. The two-stage idea resulted in fast convergence of the snake on the optic disc with great segmentation accuracy. The detection of the optic nerve head is done using normalized template matching technique. The proposed method is validated on various publicly available fundus image datasets such as Drions-DB, IDRiD, RIM-ONE, Messidor, and Drishti-GS, resulting in Dice similarity index of 0.91, 0.94, 0.94, 0.91 and 0.95, respectively.

Original languageEnglish
Title of host publicationINDICON 2022 - 2022 IEEE 19th India Council International Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665473507
DOIs
Publication statusPublished - 2022
Event19th IEEE India Council International Conference, INDICON 2022 - Kochi, India
Duration: 24-11-202226-11-2022

Publication series

NameINDICON 2022 - 2022 IEEE 19th India Council International Conference

Conference

Conference19th IEEE India Council International Conference, INDICON 2022
Country/TerritoryIndia
CityKochi
Period24-11-2226-11-22

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Modelling and Simulation

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