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...

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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/ http://irep.iium.edu.my/3254/2/A_New_Method_of_Correcting_Uneven_Illumination_Problem_in_Fundus_Image.pdf

id	iium-3254
recordtype	eprints
spelling	iium-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 PeerReviewed 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.
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
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/ http://irep.iium.edu.my/3254/2/A_New_Method_of_Correcting_Uneven_Illumination_Problem_in_Fundus_Image.pdf
first_indexed	2023-09-18T20:11:01Z
last_indexed	2023-09-18T20:11:01Z
_version_	1777407477678080000

A new method of correcting uneven illumination problem in fundus images

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