Detail publikačního výsledku

Automatic Exudates Detection in Fundus Image using Intensity Thresholding and Morphology

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

Originální název

Automatic Exudates Detection in Fundus Image using Intensity Thresholding and Morphology

Anglický název

Automatic Exudates Detection in Fundus Image using Intensity Thresholding and Morphology

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

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

Rok RIV

2016

Vydáno

08.10.2015

Místo

Brno, Czech Republic

ISBN

978-1-4673-9282-2

Kniha

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

Strany od

330

Strany do

334

Strany počet

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"
}