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Retinal Hemorrhage Detection in Fundus Image using Splat Approaches


K. Mayuri , P. S. R. Engineering College, Sivakasi, India; D. Arun Shunmugam, P. S. R. Engieering College, Sivakasi, India


Diabetic retinopathy (DR), fundus image, retinal hemorrhage, splat feature classification


A novel splat feature classification method is presented with application to retinal hemorrhage detection in fundus images. Reliable detection of retinal hemorrhages is important in the development of automated screening systems which can be translated into practice. Under our supervised approach, retinal color images are partitioned into non overlapping segments covering the entire image. Each segment, i.e., splat, contains pixels with similar color and spatial location. A set of features is extracted from each splat to describe its characteristics relative to its surroundings, employing responses from a variety of filter bank, interactions with neighbouring splats, and shape and texture information. An optimal subset of splat features is selected by a filter approach followed by a wrapper approach. In Future, we measure the performance analysis of blood vessels extractions with classifier for improving the accuracy.

Other Details

Paper ID: IJSRDV2I2421
Published in: Volume : 2, Issue : 2
Publication Date: 01/05/2014
Page(s): 773-776

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