TY - GEN
T1 - A novel and efficient hybrid segmentation approach for retinal vasculature network
AU - Aleem, Sidra
AU - Li, Ping
AU - Sheng, Bin
AU - Ren, Jie
PY - 2018/12
Y1 - 2018/12
N2 - Segmentation of retinal vasculature network is vital for the timely identification of various eye diseases. In this work, an automated hybrid segmentation technique for retinal vasculature network is proposed. Unlike the other techniques, the proposed method uses separate segmentation techniques for thick and thin retinal vessels. As a result, both vessels are retained in the final segmented result thereby improving the final segmentation accuracy. Enhancement technique used for retinal images can significantly affect the final segmentation result. Rather than using conventional enhancement techniques, for the improved enhancement, Frangi vesselness filter is used. The proposed technique is evaluated on STARE, DRIVE, and a database developed by the authors from the images collected from Shanghai Sixth Peoples Hospital.
AB - Segmentation of retinal vasculature network is vital for the timely identification of various eye diseases. In this work, an automated hybrid segmentation technique for retinal vasculature network is proposed. Unlike the other techniques, the proposed method uses separate segmentation techniques for thick and thin retinal vessels. As a result, both vessels are retained in the final segmented result thereby improving the final segmentation accuracy. Enhancement technique used for retinal images can significantly affect the final segmentation result. Rather than using conventional enhancement techniques, for the improved enhancement, Frangi vesselness filter is used. The proposed technique is evaluated on STARE, DRIVE, and a database developed by the authors from the images collected from Shanghai Sixth Peoples Hospital.
KW - Hybrid segmentation
KW - retinal image analysis
KW - retinal vasculature network
UR - http://www.scopus.com/inward/record.url?scp=85065910454&partnerID=8YFLogxK
U2 - 10.1109/PIC.2018.8706317
DO - 10.1109/PIC.2018.8706317
M3 - Conference article published in proceeding or book
AN - SCOPUS:85065910454
T3 - Proceedings of the 2018 IEEE International Conference on Progress in Informatics and Computing, PIC 2018
SP - 191
EP - 195
BT - Proceedings of the 2018 IEEE International Conference on Progress in Informatics and Computing, PIC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Conference on Progress in Informatics and Computing, PIC 2018
Y2 - 14 December 2018 through 16 December 2018
ER -