Change search
ReferencesLink to record
Permanent link

Direct link
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 (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
URN: urn:nbn:se:kth:diva-154344DOI: 10.1109/TENCONSpring.2014.6863013ScopusID: 2-s2.0-84911981400ISBN: 978-1-4799-2028-0OAI: diva2:756587
IEEE TENSYMP 2014, Region 10 Symposium, April, Kuala Lumpur, Malaysia

QC 20150414

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

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Khan, SharifuzzamanMuhammad, Hamed
By organisation
School of Technology and Health (STH)Systems Safety and Management
Medical Engineering

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 40 hits
ReferencesLink to record
Permanent link

Direct link