Publication detail

Automatic Exudates Detection in Fundus Image using Intensity Thresholding and Morphology

SINGH, A. SENGAR, N. DUTTA, M. ŘÍHA, K. MINÁŘ, J.

Original Title

Automatic Exudates Detection in Fundus Image using Intensity Thresholding and Morphology

Type

conference paper

Language

English

Original Abstract

Diabetic retinopathy (DR) is a leading cause of blindness in diabetic patients. Exudates are one of the most common earliest signs of diabetic retinopathy. Automatic and accurate detection of exudates in fundus images is an important step in early diagnosis of DR. In the proposed method detection of exudates, two independent approaches based on intensity thresholding and morphological processing are strategically combined to detect any small exudates present while removing all possible types of false positives. This strategic combination removes the noise sources from blood vessels and reflections during image capture making the detection of exudates accurate. Experimental results indicate that the proposed method has good accuracy in exudates detection without compromising the computational time and hence can be considered for screening purpose of DR.

Keywords

Diabetic retinopathy; fundus image processing; exudates; thresholding; morphological processing

Authors

SINGH, A.; SENGAR, N.; DUTTA, M.; ŘÍHA, K.; MINÁŘ, J.

RIV year

2015

Released

8. 10. 2015

Location

Brno, Czech Republic

ISBN

978-1-4673-9282-2

Book

2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

Pages from

330

Pages to

334

Pages count

5

URL

https://ieeexplore.ieee.org/document/7382452

BibTex

@inproceedings{BUT117825,
  author="Anushikha {Singh} and Namita {Sengar} and Malay Kishore {Dutta} and Kamil {Říha} and Jiří {Minář}",
  title="Automatic Exudates Detection in Fundus Image using Intensity Thresholding and Morphology",
  booktitle="2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)",
  year="2015",
  pages="330--334",
  address="Brno, Czech Republic",
  doi="10.1109/ICUMT.2015.7382452",
  isbn="978-1-4673-9282-2",
  url="https://ieeexplore.ieee.org/document/7382452"
}