Segmentation of Optic Disc by Localized Active Contour Model in Retinal Fundus Image

Shreenidhi H. Bhat, Preetham Kumar

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

1 Citation (Scopus)

Abstract

Analysis based on retinal fundus image has been progressed on computer-aided diagnostic system, as it provides the primary screening for early identification of retinal based diseases such as glaucoma, etc. This paper suggests a novel method for localization and segmentation of Optic Disc (OD) based on image processing operations, Circular Hough Transform (CHT) and localized active contour model (ACM). The morphological closing and opening operations are applied consecutively for removal of noise, blood vessels and small gaps presented in grey-scaled image. The CHT was employed for the detection of OD region and it is segmented out by using localized region-based ACM. All these processes were conducted on RIM-ONE database and the average accuracy and overlap score were estimated, respectively. Thus, this introduced method has been remarkable for effective detection and segmentation of OD which can be outrated by other methods.

Original languageEnglish
Title of host publicationSmart Innovations in Communication and Computational Sciences - Proceedings of ICSICCS-2018
EditorsMunesh C. Trivedi, Krishn K. Mishra, A. K. Misra, Khedo Kavi Kumar, Shailesh Tiwari
PublisherSpringer Verlag
Pages35-44
Number of pages10
ISBN (Print)9789811324130
DOIs
Publication statusPublished - 01-01-2019
Event2nd International Conference on Smart Innovations in Communications and Computational Sciences ICSICCS-2018 - Indore, India
Duration: 28-04-201829-04-2018

Publication series

NameAdvances in Intelligent Systems and Computing
Volume851
ISSN (Print)2194-5357

Conference

Conference2nd International Conference on Smart Innovations in Communications and Computational Sciences ICSICCS-2018
CountryIndia
CityIndore
Period28-04-1829-04-18

Fingerprint

Optics
Hough transforms
Reaction injection molding
Blood vessels
Screening
Image processing

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Bhat, S. H., & Kumar, P. (2019). Segmentation of Optic Disc by Localized Active Contour Model in Retinal Fundus Image. In M. C. Trivedi, K. K. Mishra, A. K. Misra, K. K. Kumar, & S. Tiwari (Eds.), Smart Innovations in Communication and Computational Sciences - Proceedings of ICSICCS-2018 (pp. 35-44). (Advances in Intelligent Systems and Computing; Vol. 851). Springer Verlag. https://doi.org/10.1007/978-981-13-2414-7_4
Bhat, Shreenidhi H. ; Kumar, Preetham. / Segmentation of Optic Disc by Localized Active Contour Model in Retinal Fundus Image. Smart Innovations in Communication and Computational Sciences - Proceedings of ICSICCS-2018. editor / Munesh C. Trivedi ; Krishn K. Mishra ; A. K. Misra ; Khedo Kavi Kumar ; Shailesh Tiwari. Springer Verlag, 2019. pp. 35-44 (Advances in Intelligent Systems and Computing).
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abstract = "Analysis based on retinal fundus image has been progressed on computer-aided diagnostic system, as it provides the primary screening for early identification of retinal based diseases such as glaucoma, etc. This paper suggests a novel method for localization and segmentation of Optic Disc (OD) based on image processing operations, Circular Hough Transform (CHT) and localized active contour model (ACM). The morphological closing and opening operations are applied consecutively for removal of noise, blood vessels and small gaps presented in grey-scaled image. The CHT was employed for the detection of OD region and it is segmented out by using localized region-based ACM. All these processes were conducted on RIM-ONE database and the average accuracy and overlap score were estimated, respectively. Thus, this introduced method has been remarkable for effective detection and segmentation of OD which can be outrated by other methods.",
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Bhat, SH & Kumar, P 2019, Segmentation of Optic Disc by Localized Active Contour Model in Retinal Fundus Image. in MC Trivedi, KK Mishra, AK Misra, KK Kumar & S Tiwari (eds), Smart Innovations in Communication and Computational Sciences - Proceedings of ICSICCS-2018. Advances in Intelligent Systems and Computing, vol. 851, Springer Verlag, pp. 35-44, 2nd International Conference on Smart Innovations in Communications and Computational Sciences ICSICCS-2018, Indore, India, 28-04-18. https://doi.org/10.1007/978-981-13-2414-7_4

Segmentation of Optic Disc by Localized Active Contour Model in Retinal Fundus Image. / Bhat, Shreenidhi H.; Kumar, Preetham.

Smart Innovations in Communication and Computational Sciences - Proceedings of ICSICCS-2018. ed. / Munesh C. Trivedi; Krishn K. Mishra; A. K. Misra; Khedo Kavi Kumar; Shailesh Tiwari. Springer Verlag, 2019. p. 35-44 (Advances in Intelligent Systems and Computing; Vol. 851).

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

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AU - Bhat, Shreenidhi H.

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PY - 2019/1/1

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N2 - Analysis based on retinal fundus image has been progressed on computer-aided diagnostic system, as it provides the primary screening for early identification of retinal based diseases such as glaucoma, etc. This paper suggests a novel method for localization and segmentation of Optic Disc (OD) based on image processing operations, Circular Hough Transform (CHT) and localized active contour model (ACM). The morphological closing and opening operations are applied consecutively for removal of noise, blood vessels and small gaps presented in grey-scaled image. The CHT was employed for the detection of OD region and it is segmented out by using localized region-based ACM. All these processes were conducted on RIM-ONE database and the average accuracy and overlap score were estimated, respectively. Thus, this introduced method has been remarkable for effective detection and segmentation of OD which can be outrated by other methods.

AB - Analysis based on retinal fundus image has been progressed on computer-aided diagnostic system, as it provides the primary screening for early identification of retinal based diseases such as glaucoma, etc. This paper suggests a novel method for localization and segmentation of Optic Disc (OD) based on image processing operations, Circular Hough Transform (CHT) and localized active contour model (ACM). The morphological closing and opening operations are applied consecutively for removal of noise, blood vessels and small gaps presented in grey-scaled image. The CHT was employed for the detection of OD region and it is segmented out by using localized region-based ACM. All these processes were conducted on RIM-ONE database and the average accuracy and overlap score were estimated, respectively. Thus, this introduced method has been remarkable for effective detection and segmentation of OD which can be outrated by other methods.

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Bhat SH, Kumar P. Segmentation of Optic Disc by Localized Active Contour Model in Retinal Fundus Image. In Trivedi MC, Mishra KK, Misra AK, Kumar KK, Tiwari S, editors, Smart Innovations in Communication and Computational Sciences - Proceedings of ICSICCS-2018. Springer Verlag. 2019. p. 35-44. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-981-13-2414-7_4