A unified approach for detection of diagnostically significant regions-of-interest in retinal fundus images

J. R.Harish Kumar, Simran Sachi, Kunaljit Chaudhury, S. Harsha, Birendra Kumar Singh

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

3 Citations (Scopus)

Abstract

Automatic detection of optic disc and fovea is a precursor to the computer-aided analysis of retinal pathologies. In this paper, we present a unified approach for optic disc and fovea detection based on normalized cross-correlation technique. The algorithm performance is optimized by introducing vector inner products and norms instead of conventional mean and variance computations. We report optic disc detection results on four publicly available fundus image databases amounting to a total of 1451 fundus images and fovea detection results on another four publicly available fundus image databases amounting to a total of 1454 fundus images. The proposed method results in an optic disc detection accuracy of 99.01%, 95.67%, 99.09%, and 100% on DRISHTI-GS, MESSIDOR, DRIONS-DB, and DRIVE fundus image databases, respectively, and fovea detection accuracy of 94.83%, 84.62%, 95.51%, and 97.14% on MESSIDOR, DIARETDB0, DIARETDB1, and DRIVE fundus image databases, respectively. The speed of optic disc and fovea detection has been improved considerably by downsampling technique. In addition, we report the effect of downsampling on the detection accuracy.

Original languageEnglish
Title of host publicationTENCON 2017 - 2017 IEEE Region 10 Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages19-24
Number of pages6
Volume2017-December
ISBN (Electronic)9781509011339
DOIs
Publication statusPublished - 19-12-2017
Event2017 IEEE Region 10 Conference, TENCON 2017 - Penang, Malaysia
Duration: 05-11-201708-11-2017

Conference

Conference2017 IEEE Region 10 Conference, TENCON 2017
CountryMalaysia
CityPenang
Period05-11-1708-11-17

Fingerprint

Optics
Computer aided analysis
Pathology

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Kumar, J. R. H., Sachi, S., Chaudhury, K., Harsha, S., & Singh, B. K. (2017). A unified approach for detection of diagnostically significant regions-of-interest in retinal fundus images. In TENCON 2017 - 2017 IEEE Region 10 Conference (Vol. 2017-December, pp. 19-24). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON.2017.8227829
Kumar, J. R.Harish ; Sachi, Simran ; Chaudhury, Kunaljit ; Harsha, S. ; Singh, Birendra Kumar. / A unified approach for detection of diagnostically significant regions-of-interest in retinal fundus images. TENCON 2017 - 2017 IEEE Region 10 Conference. Vol. 2017-December Institute of Electrical and Electronics Engineers Inc., 2017. pp. 19-24
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abstract = "Automatic detection of optic disc and fovea is a precursor to the computer-aided analysis of retinal pathologies. In this paper, we present a unified approach for optic disc and fovea detection based on normalized cross-correlation technique. The algorithm performance is optimized by introducing vector inner products and norms instead of conventional mean and variance computations. We report optic disc detection results on four publicly available fundus image databases amounting to a total of 1451 fundus images and fovea detection results on another four publicly available fundus image databases amounting to a total of 1454 fundus images. The proposed method results in an optic disc detection accuracy of 99.01{\%}, 95.67{\%}, 99.09{\%}, and 100{\%} on DRISHTI-GS, MESSIDOR, DRIONS-DB, and DRIVE fundus image databases, respectively, and fovea detection accuracy of 94.83{\%}, 84.62{\%}, 95.51{\%}, and 97.14{\%} on MESSIDOR, DIARETDB0, DIARETDB1, and DRIVE fundus image databases, respectively. The speed of optic disc and fovea detection has been improved considerably by downsampling technique. In addition, we report the effect of downsampling on the detection accuracy.",
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Kumar, JRH, Sachi, S, Chaudhury, K, Harsha, S & Singh, BK 2017, A unified approach for detection of diagnostically significant regions-of-interest in retinal fundus images. in TENCON 2017 - 2017 IEEE Region 10 Conference. vol. 2017-December, Institute of Electrical and Electronics Engineers Inc., pp. 19-24, 2017 IEEE Region 10 Conference, TENCON 2017, Penang, Malaysia, 05-11-17. https://doi.org/10.1109/TENCON.2017.8227829

A unified approach for detection of diagnostically significant regions-of-interest in retinal fundus images. / Kumar, J. R.Harish; Sachi, Simran; Chaudhury, Kunaljit; Harsha, S.; Singh, Birendra Kumar.

TENCON 2017 - 2017 IEEE Region 10 Conference. Vol. 2017-December Institute of Electrical and Electronics Engineers Inc., 2017. p. 19-24.

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

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Kumar JRH, Sachi S, Chaudhury K, Harsha S, Singh BK. A unified approach for detection of diagnostically significant regions-of-interest in retinal fundus images. In TENCON 2017 - 2017 IEEE Region 10 Conference. Vol. 2017-December. Institute of Electrical and Electronics Engineers Inc. 2017. p. 19-24 https://doi.org/10.1109/TENCON.2017.8227829