SVM Algorithm for the Robotic Detection of Retinal Hemorrhage in Fundus Images
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 3
Abstract
Many important eye diseases as well as systemic diseases manifest themselves in the retina. Diabetic retinopathy is a vascular disease of the retina which affects patients with diabetes mellitus. A number of other anatomical structures contribute to the process of vision, this paper focuses on retinal imaging and image analysis. Fundus photographs are partitioned into a number of splats covering the entire image. Each splat contains pixels with similar color and close spatial location. A set of distinct features is extracted within each splat. By learning properties of splats formed from blood vessels, a classifier was trained so that it can distinguish blood splats from non-blood splats. Once the blood splats, i.e. vasculature and hemorrhages, are separated from the background, the connected vasculature was removed and the remaining objects considered hemorrhage candidates. The proposed method SVM algorithm determines the origination of the blood vessel network. Finally the segmented image is classified so as to yield normal and abnormal set using Support vector machine.
Authors and Affiliations
Dr. K. Sakthivel, G. Keerthana
Keywords
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- EP ID EP21810
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