Title :
Retinal vessel segmentation using Gabor filter and artificial neural network
Author :
Nandy, Mahua ; Banerjee, M.
Author_Institution :
MCKV Inst. of Eng., Kolkata, India
fDate :
Nov. 30 2012-Dec. 1 2012
Abstract :
This paper demonstrates an automated segmentation scheme of retinal vasculature using Gabor filter bank, which is optimized on the basis of entropy. Different distributions of filter responses are encoded into features and the vasculature of normal and abnormal retina are segmented by artificial neural network(ANN). The training set of labeled pixels is obtained from the ground truth images of DRIVE database. The Receiver Operating Characteristics (ROC) in both abnormal and normal cases shows 96.16% accuracy.
Keywords :
Gabor filters; channel bank filters; eye; image segmentation; medical image processing; neural nets; ANN; DRIVE database; Gabor filter bank; ROC; abnormal retina segmentation; artificial neural network; automated segmentation scheme; entropy; filter response distribution; labeled pixel training set; receiver operating characteristics; retinal vasculature; retinal vessel segmentation; ANN; Gabor filter; entropy; spectral flatness measurement;
Conference_Titel :
Emerging Applications of Information Technology (EAIT), 2012 Third International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4673-1828-0
DOI :
10.1109/EAIT.2012.6407885
