TY - GEN
T1 - A semi-supervised puzzle-based method for separating the venous and arterial vascular networks in retinal images
AU - Felipe-Riveron, Edgardo M.
AU - Villalobos Castaldi, Fabiola M.
AU - Gómez, Ernesto Suaste
AU - Leiva Vasconcellos, Marcos A.
AU - Albortante Morato, Cecilia
PY - 2014
Y1 - 2014
N2 - The focus of this work is to create a methodology to separate the entire vascular network into its independent veins and arteries networks in optical human fundus images. It has been developed following the logical procedure used by humans when they assemble a puzzle. In the development of the methodology we take into consideration physiological properties, topological properties of the tree structure and morphological properties of both networks, that is, they have only bifurcations, crosses and ending points, and also that crosses are produced always between venous and arterial branches. For arterial blood vessels we get a classification capability, based on the pixel counting, of 84.88% while for venous was 82.87%. This indicates that the methodology classified correctly as average 83.80% of the total blood vessels in the images.
AB - The focus of this work is to create a methodology to separate the entire vascular network into its independent veins and arteries networks in optical human fundus images. It has been developed following the logical procedure used by humans when they assemble a puzzle. In the development of the methodology we take into consideration physiological properties, topological properties of the tree structure and morphological properties of both networks, that is, they have only bifurcations, crosses and ending points, and also that crosses are produced always between venous and arterial branches. For arterial blood vessels we get a classification capability, based on the pixel counting, of 84.88% while for venous was 82.87%. This indicates that the methodology classified correctly as average 83.80% of the total blood vessels in the images.
KW - Retinal image analysis
KW - puzzle-based method
KW - retinal vascular network separation
UR - http://www.scopus.com/inward/record.url?scp=84904880521&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-07491-7_26
DO - 10.1007/978-3-319-07491-7_26
M3 - Contribución a la conferencia
SN - 9783319074900
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 251
EP - 260
BT - Pattern Recognition - 6th Mexican Conference, MCPR 2014, Proceedings
PB - Springer Verlag
T2 - 6th Mexican Conference on Pattern Recognition, MCPR 2014
Y2 - 25 June 2014 through 28 June 2014
ER -