Certain Investigation of the Retinal Hemorrhage Detection in Fundus Images
|International Journal of Electronics and Communication Engineering|
|© 2015 by SSRG - IJECE Journal|
|Volume 2 Issue 2|
|Year of Publication : 2015|
|Authors : Ms.S.Deepa and Mr.S.Vijayprasath|
How to Cite?
Ms.S.Deepa and Mr.S.Vijayprasath, "Certain Investigation of the Retinal Hemorrhage Detection in Fundus Images," SSRG International Journal of Electronics and Communication Engineering, vol. 2, no. 2, pp. 24-34, 2015. Crossref, https://doi.org/10.14445/23488549/IJECE-V2I2P106
Diabetic Retinopathy has become a common eye disease in most of the developed countries. It leads to damage of the retina, since fluid leaks from blood vessels into the retina. The presence of hemorrhages in the retina is the primary symptom of diabetic retinopathy. The number and shape of hemorrhages is used to indicate the severity of the disease. Early automated hemorrhage detection can help reduce the occurrence of blindness.Reliable detection of large retinal hemorrhages is important in the development of automated screening systems, which can be translated into practice. Our proposed work is to detect the large retinal hemorrhage detection part based on splat feature classification.Using fundus photographs the images are partitioned into number of splats. Each splat contains pixels with similar color and close spatial location. A set of distinct features was extracted within each splat. Following this, different features are extracted which serves as the guideline to identify and grade the severity of the disease. Based on the extracted features classification, the retinal image is distinguished as normal or abnormal using matlab codings.
Diabetic Retinopathy (DR), Fundus image, Retinal Hemorrhage, Splat feature classification.
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