A Structure Tensor Based Voronoi Decomposition Technique for Optic Cup Segmentation

P. Kevin Raj, J. R. Harish Kumar, Subramanya Jois, S. Harsha, Chandra Sekhar Seelamantula

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

Abstract

We present a technique for segmentation of optic cup based on the structural features found in blood vessels surrounding the optic cup region. The advantage of using such features is that they are robust to variations in the properties of the fundus image such as brightness, contrast, etc. The main features used in the technique are vessel bends (also called as landmark points or kinks), which are identified by applying the Harris corner detection algorithm on the optic disc region, followed by a Voronoi image decomposition. Pratt's circle fitting algorithm is employed on the extracted landmark points to segment the optic cup region. The proposed technique is validated on a total of 191 images taken from publicly available fundus image datasets, namely, Drishti-GS and MESSIDOR. Performance metrics such as sensitivity, specificity, accuracy, Jaccarďs index, and Dice coefficient are computed to be 85%, 97%, 96%, 69.5%, and 81%, respectively, which indicates that the proposed technique for optic cup segmentation is competitive with the state-of-the-art methods.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings
PublisherIEEE Computer Society
Pages829-833
Number of pages5
ISBN (Electronic)9781538662496
DOIs
Publication statusPublished - 09-2019
Externally publishedYes
Event26th IEEE International Conference on Image Processing, ICIP 2019 - Taipei, Taiwan, Province of China
Duration: 22-09-201925-09-2019

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2019-September
ISSN (Print)1522-4880

Conference

Conference26th IEEE International Conference on Image Processing, ICIP 2019
CountryTaiwan, Province of China
CityTaipei
Period22-09-1925-09-19

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All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Raj, P. K., Harish Kumar, J. R., Jois, S., Harsha, S., & Sekhar Seelamantula, C. (2019). A Structure Tensor Based Voronoi Decomposition Technique for Optic Cup Segmentation. In 2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings (pp. 829-833). [8804286] (Proceedings - International Conference on Image Processing, ICIP; Vol. 2019-September). IEEE Computer Society. https://doi.org/10.1109/ICIP.2019.8804286