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Detection of Hemorrhages in Colored Fundus Images Using Non Uniform Illumination Estimation

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Image Analysis and Recognition (ICIAR 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8815))

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Abstract

Hemorrhages are retinal lesions caused because of different eye diseases such as diabetic retinopathy, hypertensive retinopathy and macular oedema. This paper presents a novel method for detection of hemorrhages form digital fundus images. The proposed system consists of preprocessing, candidate hemorrhage detection, removing of false regions and hemorrhage detection. The proposed system also consists of illumination estimation using non uniform circular points grid for proper detection of hemorrhages. The evaluation of proposed system is done using publicly available fundus image databases along with some locally collected images. The analysis has been done at image level and results are compared with existing techniques for hemorrhage detection.

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Author information

Authors and Affiliations

  1. College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, Pakistan

    M. Usman Akram, Sarmad Abbas Khitran & Anam Usman

  2. Center for Advanced Studies in Engineering, Islamabad, Pakistan

    M. Usman Akram, Sarmad Abbas Khitran & Anam Usman

  3. Armed Forces Institute of Ophthalmology, Rawalpindi, Pakistan

    Ubaid ullah Yasin

Authors
  1. M. Usman Akram
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  2. Sarmad Abbas Khitran
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  3. Anam Usman
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  4. Ubaid ullah Yasin
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Corresponding author

Correspondence to M. Usman Akram .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Porto, Porto, Portugal

    Aurélio Campilho

  2. Dept. of Electrical and Computer Eng., University of Waterloo, Waterloo, Ontario, Canada

    Mohamed Kamel

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© 2014 Springer International Publishing Switzerland

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Akram, M.U., Khitran, S.A., Usman, A., Yasin, U.u. (2014). Detection of Hemorrhages in Colored Fundus Images Using Non Uniform Illumination Estimation. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2014. Lecture Notes in Computer Science(), vol 8815. Springer, Cham. https://doi.org/10.1007/978-3-319-11755-3_37

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  • DOI: https://doi.org/10.1007/978-3-319-11755-3_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11754-6

  • Online ISBN: 978-3-319-11755-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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