Detection of Retinal Hemorrhage Using Splat Feature Classification Technique

摘要

In the automated fundus image screening system, reliable detection of retinal hemorrhage is required. Retinal hemorrhages are produced by diabetic retinopathy and hypertension. In our approach, a splat feature classification technique can be used to detect large irregular retinal hemorrhages with high accuracy. In this technique, the retinal images are partitioned into non overlapping segments called splat. Splat co ntains pixels with same color and spatial location. From each splat wide range of features are extracted based on interaction of each splat with its neighbor .The mean filter approach can be used to select desired sp lat feature. Performance of the hemorrhage detector can be evaluated fro m the receiver operating characteristic curve