DocumentCode
241036
Title
Detection of hemorrhages for diagnosis of malarial retinopathy
Author
Saleem, Muneeba ; Usman Akram, M.
Author_Institution
Dept. of Comput. Eng., Nat. Univ. of Sci. & Technol., Islamabad, Pakistan
fYear
2014
fDate
11-13 Dec. 2014
Firstpage
141
Lastpage
144
Abstract
Malarial retinopathy is an eye disease caused due to malaria and retinal changes like vessels discoloration, retinal whitening and hemorrhages happen in this disease. Hemorrhages are red lesions, which are the result of blood leakage and are signs of severe malaria. In this paper color feature based automatic hemorrhage detection method is proposed which comprise of preprocessing, illumination equalization, candidate hemorrhages detection, post processing, feature extraction and classification. The evaluation of proposed system is done on locally gathered retinal images of patients suffering from malarial retinopathy with manually labeled hemorrhages. Results show the significance of proposed system.
Keywords
blood vessels; diseases; eye; feature extraction; feature selection; haemodynamics; image classification; image colour analysis; medical image processing; patient diagnosis; retinal recognition; automatic hemorrhage detection method; blood leakage; candidate hemorrhage detection; color feature-based hemorrhage detection method; eye disease; feature classification; feature extraction; illumination equalization; locally gathered retinal images; malarial retinopathy diagnosis; malarial retinopathy patients; manually labeled hemorrhages; patient retinal images; post processing; preprocessing; red lesions; retinal changes; retinal whitening; severe malaria signs; vessel discoloration; Diseases; Hemorrhaging; Image segmentation; Retina; Retinopathy;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering Conference (CIBEC), 2014 Cairo International
Conference_Location
Giza
ISSN
2156-6097
Print_ISBN
978-1-4799-4413-2
Type
conf
DOI
10.1109/CIBEC.2014.7020939
Filename
7020939
Link To Document