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Automatic Detection of the Optic Disc of the Retina: A Fast Method.
Jamshidi, M; Rabbani, H; Amini, Z; Kafieh, R; Ommani, A; Lakshminarayanan, V.
Afiliación
  • Jamshidi M; Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84154, Iran.
  • Rabbani H; Department of Advanced Medical Technologies, Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan 81745-313, Iran.
  • Amini Z; Department of Advanced Medical Technologies, Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan 81745-313, Iran.
  • Kafieh R; Department of Advanced Medical Technologies, Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan 81745-313, Iran.
  • Ommani A; School of Optometry and Vision Science, University of Waterloo, ON, Canada.
  • Lakshminarayanan V; School of Optometry and Vision Science, University of Waterloo, ON, Canada; Department of Physics, Electrical and Computer Engineering, and System Design Engineering, University of Waterloo, Waterloo, ON, Canada; Department of Physics University of Michigan, Ann Arbor, MI 48104, USA.
J Med Signals Sens ; 6(1): 57-63, 2016.
Article en En | MEDLINE | ID: mdl-27014613
Localizing the optic disc (OD) in retinal fundus images is of critical importance and many techniques have been developed for OD detection. In this paper, we present the results obtained from two fast methods, correlation and least square, to approximate the location of optic cup. These methods are simple and are not complex, while most of the OD detection algorithms are. The methods were tested on two groups of data (a total of 100 color fundus images) and were 98% successful in the detection of the optic cup. An algorithm using the vessel mask of fundus images is proposed to be run after correlation to ensure that the localization of OD in all images is successful. It was tested on 40 of the test images and had a 100% rate of success.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials / Diagnostic_studies Idioma: En Revista: J Med Signals Sens Año: 2016 Tipo del documento: Article País de afiliación: Irán

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials / Diagnostic_studies Idioma: En Revista: J Med Signals Sens Año: 2016 Tipo del documento: Article País de afiliación: Irán
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