1 M.Saradha, 2 Mr.A.Athiraja, 3 Dr.A.Askarunisa
1 PG Student, 2 Assistant Professor, 3
Professor & Head
Department of Computer Science and engineering, Vickram College Of
Engineering, Enathi, Sivagangai, India.
Reliable and
efficient Optic Disc (OD) localization and segmentation are important tasks in
automatic eye disease screening. The Optic Disc (OD) center and margin are
typically essential landmarks in establishing a frame of reference for
classifying retinal and optic nerve pathology. This project presents a fast and
automatic Optic Disc localization and segmentation algorithm developed for
retinal disease screening. Morphological filtering is used to remove blood
vessels and bright regions other than the Optic Disc from a retinal image.
Experimentation was performed on 100 images from the publicly available
MESSIDOR database. The OD location methodology succeeded in 78 out of 100
images (78% success). Its efficiency, robustness and accuracy make the OD
localization and segmentation scheme described herein suitable for automatic
retinal disease screening in a variety of clinical settings. By detecting eye
disease early through automated screening algorithms, treatment would become
more effective and significant savings in health care costs could be realized