TY - GEN
T1 - Retinal blood vessels segmentation using the radial projection and supervised classification
AU - Peng, Qinmu
AU - You, Xinge
AU - Zhou, Long
AU - CHEUNG, Yiu Ming
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - The low-contrast and narrow blood vessels in retinal images are difficult to be extracted but useful in revealing certain systemic disease. Motivated by the goals of improving detection of such vessels, we propose the radial projection method to locate the vessel centerlines. Then the supervised classification is used for extracting the major structures of vessels. The final segmentation is obtained by the union of the two types of vessels after removal schemes. Our approach is tested on the STARE database, the results demonstrate that our algorithm can yield better segmentation.
AB - The low-contrast and narrow blood vessels in retinal images are difficult to be extracted but useful in revealing certain systemic disease. Motivated by the goals of improving detection of such vessels, we propose the radial projection method to locate the vessel centerlines. Then the supervised classification is used for extracting the major structures of vessels. The final segmentation is obtained by the union of the two types of vessels after removal schemes. Our approach is tested on the STARE database, the results demonstrate that our algorithm can yield better segmentation.
UR - http://www.scopus.com/inward/record.url?scp=78149477278&partnerID=8YFLogxK
U2 - 10.1109/ICPR.2010.368
DO - 10.1109/ICPR.2010.368
M3 - Conference proceeding
AN - SCOPUS:78149477278
SN - 9780769541099
T3 - Proceedings - International Conference on Pattern Recognition
SP - 1489
EP - 1492
BT - Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
T2 - 2010 20th International Conference on Pattern Recognition, ICPR 2010
Y2 - 23 August 2010 through 26 August 2010
ER -