Detecting the Optic Disc Boundary in Digital Fundus Images Using Morphological, Edge Detection, and Feature Extraction Techniques

@article{Aquino2010DetectingTO,
  title={Detecting the Optic Disc Boundary in Digital Fundus Images Using Morphological, Edge Detection, and Feature Extraction Techniques},
  author={Arturo Aquino and Manuel Emilio Geg{\'u}ndez-Arias and Diego Marin},
  journal={IEEE Transactions on Medical Imaging},
  year={2010},
  volume={29},
  pages={1860-1869}
}
Optic disc (OD) detection is an important step in developing systems for automated diagnosis of various serious ophthalmic pathologies. This paper presents a new template-based methodology for segmenting the OD from digital retinal images. This methodology uses morphological and edge detection techniques followed by the Circular Hough Transform to obtain a circular OD boundary approximation. It requires a pixel located within the OD as initial information. For this purpose, a location… CONTINUE READING

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