Author/Authors :
jamshidi, m. isfahan university of technology - department of electrical and computer engineering, ايران , rabbani, h. isfahan university of medical sciences - medical image and signal processing research center - department of advanced medical technologies, ايران , amini, z. isfahan university of medical sciences - medical image and signal processing research center - department of advanced medical technologies, ايران , kafieh, r. isfahan university of medical sciences - medical image and signal processing research center - department of advanced medical technologies, ايران , ommani, a. university of waterloo - school of optometry and vision science, Canada , lakshminarayanan, v. university of waterloo - school of optometry and vision science - departments of physics, electrical and computer engineering, and system design engineering, Canada , lakshminarayanan, v. university of michigan - department of physics, USA
Abstract :
Localizing the optic disc (OD) in retinal fundus images is of critical importance, so 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.
Keywords :
Correlation , denoising , least square , optic disc , vessel mask
