Cover Image

A new method of correcting uneven illumination problem in fundus images

Recent advancements in signal and image processing have reduced the time of diagnoses, effort and pressure on the screeners by providing auto diagnostic tools for different diseases. The success rate of these tools greatly depend on the quality of acquired images. Bad image quality can significantly...

Full description

Saved in:
Bibliographic Details
Main Authors: Aibinu, Abiodun Musa, Iqbal, Muhammad Imran, Nilsson, Mikael, Salami, Momoh Jimoh Emiyoka
Format: Conference or Workshop Item
Language:English
Published: 2007
Subjects:
T173.2 Technological change
Online Access:http://irep.iium.edu.my/3254/2/A_New_Method_of_Correcting_Uneven_Illumination_Problem_in_Fundus_Image.pdf
http://irep.iium.edu.my/3254/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.iium.irep.3254
record_format dspace
spelling my.iium.irep.32542012-06-11T06:36:41Z http://irep.iium.edu.my/3254/ A new method of correcting uneven illumination problem in fundus images Aibinu, Abiodun Musa Iqbal, Muhammad Imran Nilsson, Mikael Salami, Momoh Jimoh Emiyoka T173.2 Technological change Recent advancements in signal and image processing have reduced the time of diagnoses, effort and pressure on the screeners by providing auto diagnostic tools for different diseases. The success rate of these tools greatly depend on the quality of acquired images. Bad image quality can significantly reduce the specificity and the sensitivity which in turn forces screeners back to their tedious job of manual diagnoses. In acquired fundus images, some areas appear to be brighter than the other, that is areas close to the center of the image are always well illuminated, hence appear very bright while areas far from the center are poorly illuminated hence appears to be very dark. Several techniques including the simple thresholding, Naka Rushton (NR) filtering technique and histogram equalization (HE) method have been suggested by various researchers to overcome this problem. However, each of these methods has limitations at their own and hence the need to develop a more robust technique that will provide better performance with greater flexibility. A new method of compensating uneven (irregular) illumination in fundus images termed global-local adaptive histogram equalization using partially-overlapped windows (GLAPOW) is proposed in this paper. The developed algorithm has been tested and the results obtained show superior performance when compared to other known techniques for uneven illumination correction. 2007 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/3254/2/A_New_Method_of_Correcting_Uneven_Illumination_Problem_in_Fundus_Image.pdf Aibinu, Abiodun Musa and Iqbal, Muhammad Imran and Nilsson, Mikael and Salami, Momoh Jimoh Emiyoka (2007) A new method of correcting uneven illumination problem in fundus images. In: Proceedings of the International Conference on Robotics, Vision, Information and Signal Processing (ROVISP2007), 28-30 November 2007, Penang, Malaysia.
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic T173.2 Technological change
spellingShingle T173.2 Technological change
Aibinu, Abiodun Musa
Iqbal, Muhammad Imran
Nilsson, Mikael
Salami, Momoh Jimoh Emiyoka
A new method of correcting uneven illumination problem in fundus images
description Recent advancements in signal and image processing have reduced the time of diagnoses, effort and pressure on the screeners by providing auto diagnostic tools for different diseases. The success rate of these tools greatly depend on the quality of acquired images. Bad image quality can significantly reduce the specificity and the sensitivity which in turn forces screeners back to their tedious job of manual diagnoses. In acquired fundus images, some areas appear to be brighter than the other, that is areas close to the center of the image are always well illuminated, hence appear very bright while areas far from the center are poorly illuminated hence appears to be very dark. Several techniques including the simple thresholding, Naka Rushton (NR) filtering technique and histogram equalization (HE) method have been suggested by various researchers to overcome this problem. However, each of these methods has limitations at their own and hence the need to develop a more robust technique that will provide better performance with greater flexibility. A new method of compensating uneven (irregular) illumination in fundus images termed global-local adaptive histogram equalization using partially-overlapped windows (GLAPOW) is proposed in this paper. The developed algorithm has been tested and the results obtained show superior performance when compared to other known techniques for uneven illumination correction.
format Conference or Workshop Item
author Aibinu, Abiodun Musa
Iqbal, Muhammad Imran
Nilsson, Mikael
Salami, Momoh Jimoh Emiyoka
author_facet Aibinu, Abiodun Musa
Iqbal, Muhammad Imran
Nilsson, Mikael
Salami, Momoh Jimoh Emiyoka
author_sort Aibinu, Abiodun Musa
title A new method of correcting uneven illumination problem in fundus images
title_short A new method of correcting uneven illumination problem in fundus images
title_full A new method of correcting uneven illumination problem in fundus images
title_fullStr A new method of correcting uneven illumination problem in fundus images
title_full_unstemmed A new method of correcting uneven illumination problem in fundus images
title_sort new method of correcting uneven illumination problem in fundus images
publishDate 2007
url http://irep.iium.edu.my/3254/2/A_New_Method_of_Correcting_Uneven_Illumination_Problem_in_Fundus_Image.pdf
http://irep.iium.edu.my/3254/
_version_ 1643605106809110528
score 13.211869

Similar Items