Score Fusion of Surf Descriptors for Detecting Diabetic Retinopathy using Wavelet Transform

SEEE DIGIBOOK ON ENGINEERING & TECHNOLOGY, VOL. 01, FEB 2018 PP.(239-242)
Abstract– People with diabetes can have an eye disease called diabetic retinopathy. Due to this blood vessels can swell and leak and also it leading causes of blurring, distortion, loss of detail vision, floaters and blindness. In this paper proposes a new approach to classify salient points belongs to the retinal image. Speeded-Up Robust Feature (SURF) is used to detect robust key point detector of local feature in a retinal image. The performance of this conventional SURF algorithm can be improved by transforming the input images into different sub images by the (DWT) Discrete Wavelet Transform before applying SURF algorithm. Results of this matching scores obtained by the different sub images are fused and final decision is made. DR is detected by analyzing the retina score without segmenting the lesions. This implies that the proposed algorithm is very fast and can be used as screening test for retinal abnormalities detection
Index Terms – Speeded-Up Robust Feature, Discrete Wavelet Transform, and Diabetic retinopathy.
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Jasminebegam J, Anitha A
Government College of Technology,
Coimbatore, India
jasminebegam786@gmail.com,
tha.ani1981@gmail.com

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