Abstract:
In this paper, a novel approach for content based image retrieval (CBIR) in diabetic retinopathy (DR) is proposed.
The concept of salient point selection and inter-plane relationship technique is used. Salient points are selected from
edgy image and later using inter-planer relationship, Local Binary Patterns (LBPs) are calculated using the salient
point as a center pixel. Our approach enhanced the results as we used color features in combination with LBP
features. Experimentation is carried out on MESSIDOR database of 1200 retinal images, proposed approach has
average precision of 57.82% as compared to the earlier approach whose average precision is 53.70%.
