TY - GEN
T1 - Retinal vessel segmentation using a modified morphology process and global thresholding
AU - Setiawan, Wahyudi
AU - Utoyo, Mohammad Imam
AU - Rulaningtyas, Riries
N1 - Publisher Copyright:
© 2018 Author(s).
PY - 2018/10/17
Y1 - 2018/10/17
N2 - The retinal blood vessels are one of the objects in the retina. The characteristics of the retinal vessels have their unique shape and size. Diseases suffered by humans, including diabetic retinopathy, hypertension, and cardiovascular disorders, can be detected by examining these blood vessels. An automated system that can distinguish blood vessels from the other objects in the retina is here presented. It consists of preprocessing, segmentation, and accuracy calculations. Preprocessing consists of green channel, overlap masking, opening and top-hat morphology. Segmentation uses global thresholding. Experiments used the DRIVE image fundus dataset. Segmentation separates the blood vessel from the background. The performance of the segmentation results is measured in terms of accuracy, sensitivity and specificity. The average accuracy is 96.54%, the average specificity is 98.81%, and the average sensitivity is 72.27%.
AB - The retinal blood vessels are one of the objects in the retina. The characteristics of the retinal vessels have their unique shape and size. Diseases suffered by humans, including diabetic retinopathy, hypertension, and cardiovascular disorders, can be detected by examining these blood vessels. An automated system that can distinguish blood vessels from the other objects in the retina is here presented. It consists of preprocessing, segmentation, and accuracy calculations. Preprocessing consists of green channel, overlap masking, opening and top-hat morphology. Segmentation uses global thresholding. Experiments used the DRIVE image fundus dataset. Segmentation separates the blood vessel from the background. The performance of the segmentation results is measured in terms of accuracy, sensitivity and specificity. The average accuracy is 96.54%, the average specificity is 98.81%, and the average sensitivity is 72.27%.
KW - Dilation
KW - erosion
KW - image fundus
KW - retinal blood vessel
UR - http://www.scopus.com/inward/record.url?scp=85056195118&partnerID=8YFLogxK
U2 - 10.1063/1.5062795
DO - 10.1063/1.5062795
M3 - Conference contribution
AN - SCOPUS:85056195118
T3 - AIP Conference Proceedings
BT - 8th Annual Basic Science International Conference
A2 - Karim, Corina
A2 - Azrianingsih, Rodliyati
A2 - Pamungkas, Mauludi Ariesto
A2 - Jatmiko, Yoga Dwi
A2 - Safitri, Anna
PB - American Institute of Physics Inc.
T2 - 8th Annual Basic Science International Conference: Coverage of Basic Sciences toward the World's Sustainability Challanges, BaSIC 2018
Y2 - 6 March 2018 through 7 March 2018
ER -
