Title :
Automated localization of the optic disc and the fovea
Author :
Niemeijer, M. ; Abràmoff, M.D. ; van Ginneken, B.
Author_Institution :
Department of Electrical and Computer Engineering, and the Department of Ophthalmology and Visual Sciences, the University of Iowa, USA
Abstract :
The detection of the position of the normal anatomy in color fundus photographs is an important step in the automated analysis of retinal images. An automatic system for the detection of the position of the optic disc and the fovea is presented. The method integrates the use of local vessel geometry and image intensity features to find the correct positions in the image. A kNN regressor is used to accomplish the integration. Evaluation was performed on a set of 250 digital color fundus photographs and the detection performance for the optic disc and the fovea were 99.2% and 96.4% respectively.
Keywords :
Anatomy; Diabetes; Diseases; Geometrical optics; Image analysis; Image color analysis; Information geometry; Performance evaluation; Retina; Retinopathy; Algorithms; Automation; Color; Fovea Centralis; Humans; Image Enhancement; Image Processing, Computer-Assisted; Mass Screening; Models, Statistical; Optic Disk; Pigmentation; Regression Analysis; Reproducibility of Results; Retina; Sensitivity and Specificity;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4649969
