Diabetic Retinopathy Classification Using Gray Level Textural Contrast and Blood Vessel Edge Profile Map

Diabetic Retinopathy Classification Using Gray Level Textural Contrast and Blood Vessel Edge Profile Map

Bibliographic Details
Main Author: Gurudath, Nikita
Language:English
Published: Ohio University / OhioLINK 2014
Subjects:
Biomedical Engineering
Electrical Engineering
Engineering
Medical Imaging
Ophthalmology
Diabetic retinopathy
Fundus images
Gaussian filtering
Texture and fractal features
Artificial Neural Network
Support Vector Machines
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1417538885
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-ohiou14175388852021-08-03T06:28:23Z Diabetic Retinopathy Classification Using Gray Level Textural Contrast and Blood Vessel Edge Profile Map Gurudath, Nikita Biomedical Engineering Electrical Engineering Engineering Medical Imaging Ophthalmology Diabetic retinopathy Fundus images Gaussian filtering Texture and fractal features Artificial Neural Network Support Vector Machines Diabetic retinopathy is an inevitable cause of diabetes that eventually leads to blindness without early detection and treatment. This thesis incorporates classification of an input fundus image into one of the three classes, healthy/normal, Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR).In this research, an approach to automate the identification of the presence of diabetic retinopathy from color fundus images of the retina has been proposed. The blood vessel edge profile from these images is obtained using Gaussian kernel as the filtering function. A local entropy based thresholding using fixed as well as adaptive mask has been conducted. Gradient driven second order statistic contrast in four orientations and fractal features quantify the classes. The number of features vary based on the experiment.Classification has been achieved using two well-known techniques – Artificial Neural Network (ANN) and Support Vector Machines (SVM). The results of this research are compared to those obtained from other approaches developed in the literature. 2014 English text Ohio University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1417538885 http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1417538885 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Biomedical Engineering
Electrical Engineering
Engineering
Medical Imaging
Ophthalmology
Diabetic retinopathy
Fundus images
Gaussian filtering
Texture and fractal features
Artificial Neural Network
Support Vector Machines
spellingShingle Biomedical Engineering
Electrical Engineering
Engineering
Medical Imaging
Ophthalmology
Diabetic retinopathy
Fundus images
Gaussian filtering
Texture and fractal features
Artificial Neural Network
Support Vector Machines
Gurudath, Nikita
Diabetic Retinopathy Classification Using Gray Level Textural Contrast and Blood Vessel Edge Profile Map
author Gurudath, Nikita
author_facet Gurudath, Nikita
author_sort Gurudath, Nikita
title Diabetic Retinopathy Classification Using Gray Level Textural Contrast and Blood Vessel Edge Profile Map
title_short Diabetic Retinopathy Classification Using Gray Level Textural Contrast and Blood Vessel Edge Profile Map
title_full Diabetic Retinopathy Classification Using Gray Level Textural Contrast and Blood Vessel Edge Profile Map
title_fullStr Diabetic Retinopathy Classification Using Gray Level Textural Contrast and Blood Vessel Edge Profile Map
title_full_unstemmed Diabetic Retinopathy Classification Using Gray Level Textural Contrast and Blood Vessel Edge Profile Map
title_sort diabetic retinopathy classification using gray level textural contrast and blood vessel edge profile map
publisher Ohio University / OhioLINK
publishDate 2014
url http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1417538885
work_keys_str_mv AT gurudathnikita diabeticretinopathyclassificationusinggrayleveltexturalcontrastandbloodvesseledgeprofilemap
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