TY - GEN
T1 - Improved classification of glaucoma in retinal fundus images using 2D-DWT
AU - Parashar, Deepak
AU - Agrawal, Dheeraj
N1 - Publisher Copyright:
© 2021 IEEE
PY - 2021
Y1 - 2021
N2 - Glaucoma is one of the leading causes of vision impairment. The screening of glaucoma in the earlier stage is crucial to avoid blindness. In this paper, an improved method is proposed for glaucoma screening in retinal fundus photographs using a two-dimensional discrete wavelet transform (2D-DWT). In this work, 2D-DWT is used for the decomposition of the preprocessed images into various sub-band images (SBIs). Further, the significant grey level co-occurrence matrix (GLCM) features have been computed from SBIs. Then, the ReliefF algorithm has been utilized to select the relevant features from the extracted feature set. Finally, these robust features have been used for classification using the K-nearest neighbor (KNN) classifier. The developed framework obtained the maximum accuracy of 92.10% with a tenfold cross-validation process.
AB - Glaucoma is one of the leading causes of vision impairment. The screening of glaucoma in the earlier stage is crucial to avoid blindness. In this paper, an improved method is proposed for glaucoma screening in retinal fundus photographs using a two-dimensional discrete wavelet transform (2D-DWT). In this work, 2D-DWT is used for the decomposition of the preprocessed images into various sub-band images (SBIs). Further, the significant grey level co-occurrence matrix (GLCM) features have been computed from SBIs. Then, the ReliefF algorithm has been utilized to select the relevant features from the extracted feature set. Finally, these robust features have been used for classification using the K-nearest neighbor (KNN) classifier. The developed framework obtained the maximum accuracy of 92.10% with a tenfold cross-validation process.
UR - https://www.scopus.com/pages/publications/85109215503
UR - https://www.scopus.com/pages/publications/85109215503#tab=citedBy
U2 - 10.1109/ICAECT49130.2021.9392531
DO - 10.1109/ICAECT49130.2021.9392531
M3 - Conference contribution
AN - SCOPUS:85109215503
T3 - Proceedings of the 2021 1st International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies, ICAECT 2021
BT - Proceedings of the 2021 1st International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies, ICAECT 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st IEEE International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies, ICAECT 2021
Y2 - 19 February 2021 through 20 February 2021
ER -
