• 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