6533b7d1fe1ef96bd125cd45
RESEARCH PRODUCT
Blood vessels and feature points detection on retinal images
Salvatore RadostaEdoardo ArdizzoneRoberto PirroneOrazio Gambinosubject
Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniChannel (digital image)Pixelbusiness.industryMatched filterGaussianRetinal VesselsSensitivity and SpecificityRetinaIntersection (Euclidean geometry)Pattern Recognition AutomatedTree (data structure)symbols.namesakevessels feature detectionFeature (computer vision)Image Interpretation Computer-AssistedsymbolsHumansRGB color modelComputer visionArtificial intelligencebusinessAlgorithmsMathematicsdescription
In this paper we present a method for the automatic extraction of blood vessels from retinal images, while capturing points of intersection/overlap and endpoints of the vascular tree. The algorithm performance is evaluated through a comparison with handmade segmented images available on the STARE project database (STructured Analysis of the REtina). The algorithm is performed on the green channel of the RGB triad. The green channel can be used to represent the illumination component. The matched filter is used to enhance vessels w.r.t. the background. The separation between vessels and background is accomplished by a threshold operator based on gaussian probability density function. The length filtering removes pixels and isolated segments from the resulting image. Finally endpoints, intersections and overlapping vessels are extracted.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2009-01-24 | 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |