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PANDEY, A. CHANDRA, R. DUTTA, M. BURGET, R. UHER, V. MINÁŘ, J.
Originální název
Automatic Detection of Red Lesions in Diabetic Retinopathy using Shape Based Extraction Technique in Fundus Image
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The paper proposes an automatic image processing algorithm based on shape features for the detection of red lesions. In Diabetic Retinopathy Micro-aneurysms and hemorrhages comes under the category of red lesions, which is the most common eye disease caused in diabetic patients and also leads to blindness. This paper describes an effective methodology to study any computer-aided fundus image that can be utilized as a tool for diagnosis and detection of red lesions. A Shape based extraction technique using three parameters i.e. Perimeter Area and Eccentricity is used to segment out the red lesions from rest of the image. Since the algorithm consider shape features for detection of red lesion which makes it efficient and independent of image quality. The results that are experimentally obtained by applying this algorithm has been compared with those of the ophthalmologist and the comparison of these results have been highly accurate. In addition to the accuracy of the obtained results, the proposed method is fast and having very low computational time.
Klíčová slova
Diabetic Retinopathy; fundus image processing; hemorrages; micro-aneurysms; red lesions
Autoři
PANDEY, A.; CHANDRA, R.; DUTTA, M.; BURGET, R.; UHER, V.; MINÁŘ, J.
Vydáno
27. 6. 2016
ISBN
978-1-5090-1287-9
Kniha
39th International Conference on Telecommunications and Signal Processing (TSP) 2016
ISSN
1805-5435
Periodikum
International Conference on Telecommunications and Signal Processing (TSP)
Stát
Česká republika
Strany od
538
Strany do
542
Strany počet
5
URL
https://ieeexplore.ieee.org/abstract/document/7760938
BibTex
@inproceedings{BUT127770, author="Aman {Pandey} and Ritu {Chandra} and Malay Kishore {Dutta} and Radim {Burget} and Václav {Uher} and Jiří {Minář}", title="Automatic Detection of Red Lesions in Diabetic Retinopathy using Shape Based Extraction Technique in Fundus Image", booktitle="39th International Conference on Telecommunications and Signal Processing (TSP) 2016", year="2016", journal="International Conference on Telecommunications and Signal Processing (TSP)", pages="538--542", doi="10.1109/TSP.2016.7760938", isbn="978-1-5090-1287-9", issn="1805-5435", url="https://ieeexplore.ieee.org/abstract/document/7760938" }