Computer Assisted Methods for Retinal Image Classification

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Author(s): S. R. Nirmala (Gauhati University, India)and Purabi Sharma (Gauhati University, India)
Copyright: 2015
Pages: 24
Source title: Intelligent Applications for Heterogeneous System Modeling and Design
Source Author(s)/Editor(s): Kandarpa Kumar Sarma (Gauhati University, India), Manash Pratim Sarma (Gauhati University, India)and Mousmita Sarma (SpeecHWareNet (I) Pvt. Ltd, India)
DOI: 10.4018/978-1-4666-8493-5.ch010

Keywords: Computer Science & IT / Information Science Reference / Systems & Software Design / Systems and Software Engineering

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Abstract

Diabetes maculopathy has become one of the rapidly increasing health threats worldwide. The complication of diabetes associated to retina of the eye is diabetic retinopathy. A patient with the disease has to undergo periodic screening of eye. The ophthalmologists use colour retinal images of a patient acquired from digital fundus camera for disease diagnosis. Limited number of ophthalmology specialists in most of the countries motivates the need for computer based analysis of retinal images using image processing techniques. The results of this process may be used in applications such as, to classify the retinal images into normal and diseased. This could reduce the workload of ophthalmologists, also aid in diagnosis, to make measurements and to look for a change in progression of disease. Some computer based retinal image analysis methods used for the application are briefed in this chapter.

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