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Retinal Image Enhancement Using Laplacian Pyramidal Multi-scaling
KTH, School of Technology and Health (STH).
KTH, School of Technology and Health (STH), Health Systems Engineering, Systems Safety and Management.ORCID iD: 0000-0002-1831-9285
2014 (English)In: IEEE TENSYMP 2014 - 2014 IEEE Region 10 Symposium, 2014, 141-146 p.Conference paper, Published paper (Refereed)
Abstract [en]

Early detection of retinal diseases is important to avoid complications and permanent vision loss. In this paper retinal neovascularization and molecular degeneration has been emphasized. Neovascularization is in form of randomly disoriented micro vessels in retina. So image enhancement techniques are excellent way to extract the vessels, find out blood leakages, determine direction of growth and estimate the growth rate with vessel localization. A comparative study has been done on prior retinal image enhancement algorithms. In this project multi-scale image analysis is used as main image enhancement technique with the help of Laplacian Pyramid. The target is achieved by translating an image into several image scales and reconstructing with enhancement tools available in MATLAB image processing toolbox. Results are evaluated with object background contrast ratio, contrast- noise -ratio and 2-D contour plot. The enhanced images appear as a better source for edge detection and vessel extraction compare with the primary image. For this project  normal fundus images from publicly available database are chosen.

Place, publisher, year, edition, pages
2014. 141-146 p.
Keyword [en]
Multi-scale Analysis, Laplacian Pyramid, Retinal
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-154344DOI: 10.1109/TENCONSpring.2014.6863013Scopus ID: 2-s2.0-84911981400ISBN: 978-1-4799-2028-0 (print)OAI: oai:DiVA.org:kth-154344DiVA: diva2:756587
Conference
IEEE TENSYMP 2014, Region 10 Symposium, April, Kuala Lumpur, Malaysia
Note

QC 20150414

Available from: 2014-10-17 Created: 2014-10-17 Last updated: 2015-04-14Bibliographically approved

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Muhammad, Hamed

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CiteExportLink to record
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Citation style
  • apa
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  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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