Publication detail

An Efficient Automatic Intensity Based Method for Detection of Macula in Retinal Images

BANSAL, A. VATS, A. JAIN, A. DUTTA, M. BURGET, R. PŘINOSIL, J.

Original Title

An Efficient Automatic Intensity Based Method for Detection of Macula in Retinal Images

English Title

An Efficient Automatic Intensity Based Method for Detection of Macula in Retinal Images

Type

conference paper

Language

en

Original Abstract

This paper demonstrates an automatic proficient intensity based approach for automatic detection and extraction of macula from the retinal fundus images in the field of teleopthalmology. Detection of the macula from a retinal image is an indispensable step for developing automated screening system for ophthalmic pathologies. For eye diagnosis, digital fundus images have become significant, thus opening up the possibility of applying digital image processing techniques in ocular fundus images to facilitate and improve diagnosis. The paper proposes a method for automatic and efficient detection and extraction of macula, based on the reference position of the optical disc from the fundus images. Further, suitable morphological steps are performed on the region of interest obtained with the help of centroid of optical disc to extract the exact location of macula. The proposed algorithm is computationally simple, efficient and can be used to assist ophthalmologists in as a diagnostic tool for screening of various eye related ailments. The experimental results indicate that this method of detection of macula is highly accurate and efficient

English abstract

This paper demonstrates an automatic proficient intensity based approach for automatic detection and extraction of macula from the retinal fundus images in the field of teleopthalmology. Detection of the macula from a retinal image is an indispensable step for developing automated screening system for ophthalmic pathologies. For eye diagnosis, digital fundus images have become significant, thus opening up the possibility of applying digital image processing techniques in ocular fundus images to facilitate and improve diagnosis. The paper proposes a method for automatic and efficient detection and extraction of macula, based on the reference position of the optical disc from the fundus images. Further, suitable morphological steps are performed on the region of interest obtained with the help of centroid of optical disc to extract the exact location of macula. The proposed algorithm is computationally simple, efficient and can be used to assist ophthalmologists in as a diagnostic tool for screening of various eye related ailments. The experimental results indicate that this method of detection of macula is highly accurate and efficient

Keywords

Fundus Images, Macula, Morphological operations, Optic disc, Retinal image processing

RIV year

2015

Released

09.07.2015

Location

Prague, Czech Republic

ISBN

978-1-4799-8497-8

Book

2015 38th International Conference on Telecommunications and Signal Processing (TSP)

Pages from

421

Pages to

425

Pages count

5

BibTex


@inproceedings{BUT115649,
  author="Arpit {Bansal} and Aashwin {Vats} and Akshita {Jain} and Malay Kishore {Dutta} and Radim {Burget} and Jiří {Přinosil}",
  title="An Efficient Automatic Intensity Based Method for Detection of Macula in Retinal Images",
  annote="This paper demonstrates an automatic proficient intensity based approach for automatic detection and extraction of macula from the retinal fundus images in the field of teleopthalmology. Detection of the macula from a retinal image is an indispensable step for developing automated screening system for ophthalmic pathologies. For eye diagnosis, digital fundus images have become significant, thus opening up the possibility of applying digital image processing techniques in ocular fundus images to facilitate and improve diagnosis. The paper proposes a method for automatic and efficient detection and extraction of macula, based on the reference position of the optical disc from the fundus images. Further, suitable morphological steps are performed on the region of interest obtained with the help of centroid of optical disc to extract the exact location of macula. The proposed algorithm is computationally simple, efficient and can be used to assist ophthalmologists in as a diagnostic tool for screening of various eye related ailments. The experimental results indicate that this method of detection of macula is highly accurate and efficient",
  booktitle="2015 38th International Conference on Telecommunications and Signal Processing (TSP)",
  chapter="115649",
  howpublished="online",
  year="2015",
  month="july",
  pages="421--425",
  type="conference paper"
}