Comparison of Different Diabetic Retinopathy Detection Algorithms with a Proposed One Using Neural Network and DWT

  Nikita Kashyap,  Dr. Dharmendra Kumar Singh,  Dr. Girish Kumar Singh

Diabetic Retinopathy (DR) is the retinal disorder arises on diabetic patients and in many cases it may lead to vision loss. The early retinal examination is essential to avoid Diabetic Retinopathy and there are different types of detection methods are available to recognize DR. This paper presents a comparison of different Diabetic retinopathy detection methods and proposes one based on DWT and neural network. The proposed method is developed by extracting image’s feature points by using Discrete Wavelet Transform (DWT) and applying this feature points to neural network to classify the images into 5 stages- Normal, mild NPDR, Moderate NPDR, Severe NPDR and PDR. The experiment result shows that proposed method is give better output as compared to existing methods.

Keywords- Diabetic Retinopathy, DWT, Neural Network, Retinal image

Unique Identification Number - IJEDR1903051
Page Number(s) - 298-304
Pubished in - Volume 7 | Issue 3 | July 2019
DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.22722
Publisher - IJEDR (ISSN - 2321-9939)

  Nikita Kashyap,  Dr. Dharmendra Kumar Singh,  Dr. Girish Kumar Singh,   "Comparison of Different Diabetic Retinopathy Detection Algorithms with a Proposed One Using Neural Network and DWT", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 3, pp.298-304, July 2019, Available at :http://www.ijedr.org/papers/IJEDR1903051.pdf