Karasulu, Bahadir2025-01-272025-01-2720141582-74451844-7600https://doi.org/10.4316/AECE.2014.02025https://hdl.handle.net/20.500.12428/22980Optic disk (OD) boundary localization is a substantial problem in ophthalmic image processing research area. In order to segment the region of OD, we developed an automatic system which involves a multi-level thresholding. The OD segmentation results of the system in terms of average precision, recall and accuracy for DRIVE database are 98.88%, 99.91%, 98.83%, for STARE database are 98.62%, 97.38%, 96.11%, and for DIARETDB1 database are 99.29%, 99.90%, 99.20%, respectively. The experimental results show that our system works properly on retinal image databases with diseased retinas, diabetic signs, and a large degree of quality variability.eninfo:eu-repo/semantics/openAccessimage processingimage segmentationbiomedical imagingdigital imagingretinal image databaseAn Automatic Optic Disk Detection and Segmentation System using Multi-level ThresholdingArticle14216117210.4316/AECE.2014.02025Q4WOS:0003408681000252-s2.0-84901818521Q3