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SINGH, A. DUTTA, M. PARTHASARATHI, M. UHER, V. BURGET, R.
Originální název
Image Processing Based Automatic Diagnosis of Glaucoma using Wavelet Features of Segmented Optic Disc from Fundus Image
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
Glaucoma is a disease of the retina which is one of the most common causes of permanent blindness worldwide. This paper presents an automatic image processing based method for glaucoma diagnosis from the digital fundus image. In this paper wavelet feature extraction has been followed by optimized genetic feature selection combined with several learning algorithms and various parameter settings. Unlike the existing research works where the features are considered from the complete fundus or a sub image of the fundus, this work is based on feature extraction from the segmented and blood vessel removed optic disc to improve the accuracy of identification. The experimental results presented in this paper indicate that the wavelet features of the segmented optic disc image are clinically more significant in comparison to features of the whole or sub fundus image in the detection of glaucoma from fundus image. Accuracy of glaucoma identification achieved in this work is 94.7 % and a comparison with existing methods of glaucoma detection from fundus image indicates that the proposed approach has improved accuracy of classification
Klíčová slova
Glaucoma; Fundus image; Optic Disc; Blood Vessels; Wavelet Transform; Feature Extraction; Classification
Autoři
SINGH, A.; DUTTA, M.; PARTHASARATHI, M.; UHER, V.; BURGET, R.
Rok RIV
2015
Vydáno
23. 10. 2015
Nakladatel
Elsevier Ireland Ltd
Místo
Irsko
ISSN
0169-2607
Periodikum
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
Ročník
122
Číslo
2
Stát
Nizozemsko
Strany od
1
Strany do
12
Strany počet
URL
http://www.sciencedirect.com/science/article/pii/S0169260715002709
BibTex
@article{BUT118014, author="SINGH, A. and DUTTA, M. and PARTHASARATHI, M. and UHER, V. and BURGET, R.", title="Image Processing Based Automatic Diagnosis of Glaucoma using Wavelet Features of Segmented Optic Disc from Fundus Image", journal="COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE", year="2015", volume="122", number="2", pages="1--12", doi="10.1016/j.cmpb.2015.10.010", issn="0169-2607", url="http://www.sciencedirect.com/science/article/pii/S0169260715002709" }