Automatic Classification of Retinal Vessels Using Structural and Intensity Information
- 1.3k Downloads
This paper presents an automatic approach for artery/vein (A/V) classification based on the analysis of a graph representing the structure of the retinal vasculature. The entire vascular tree is classified by deciding on the type of each intersection point (graph node) and assigning one of two classes to each vessel segment (graph link). The final label for each vessel segment is accomplished by a combination of structural information taken from the graph (link class) with intensity features measured in the original color image. An accuracy of 88.0% was achieved for the 40 images of the INSPIRE-AVR dataset, thus demonstrating that our method outperforms state-of-the-art approaches for A/V classification.
KeywordsArtery/vein classification graph retinal images vessel segmentation
Unable to display preview. Download preview PDF.
- 7.Vazquez, S., Cancela, B., Barreira, N., Penedo, M., Saez, M.: On the automatic computation of the arterio-venous ratio in retinal images: Using minimal paths for the artery/vein classification. In: International Conference on Digital Image Computing: Techniques and Applications (DICTA), pp. 599–604 (2010)Google Scholar
- 8.Kondermann, C., Kondermann, D., Yan, M.: Blood vessel classification into arteries and veins in retinal images. In: SPIE, pp. 651247–651249 (2007)Google Scholar
- 11.Mendonça, A., Dashtbozorg, B., Campilho, A.: Segmentation of the vascular network of the retina. In: Ng, E.Y.K., Acharya, U.R., Suri, J.S., Campilho, A. (eds.) Image Analysis and Modeling in Opthalmology. CRC Press (to be published, 2013)Google Scholar
- 12.Niemeijer, M., Xu, X., Dumitrescu, A., Gupta, P., van Ginneken, B., Folk, J., Abràmoff, M.: INSPIRE-AVR:Iowa Normative Set for Processing Images of the REtina-Artery Vein Ratio, http://webeye.ophth.uiowa.edu/component/k2/item/270