Retrospective illumination correction of retinal fundus images from gradient distribution sparsity

Author

Zheng, Yuanjie ; Vanderbeek, Brian ; Xiao, Rui ; Daniel, Ebenezer ; Stambolian, Dwight ; Maguire, Maureen ; O´Brien, Joan ; Gee, James

Author_Institution

Dept. of Radiol., Univ. of Pennsylvania, Philadelphia, PA, USA

fYear

2012

fDate

2-5 May 2012

Firstpage

972

Lastpage

975

Abstract

We present a novel technique for retrospective illumination correction of retinal fundus images from the sparsity property of image gradient distribution. It can automatically estimate the illumination inhomogeneity given an arbitrary retinal fundus image. Experimental results on 665 high resolution fundus images show both the efficiency of our algorithm on illumination correction and its high value on improving the accuracy of blood-vessel segmentation.

Keywords

biomedical optical imaging; blood; blood vessels; eye; gradient methods; image resolution; image segmentation; medical image processing; arbitrary retinal fundus image; blood-vessel segmentation; gradient distribution sparsity; high-resolution fundus images; image gradient distribution; retrospective illumination correction; Biomedical imaging; Image resolution; Image segmentation; Lighting; Nonhomogeneous media; Retina;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on

Conference_Location

Barcelona

ISSN

1945-7928

Print_ISBN

978-1-4577-1857-1

Type

conf

DOI

10.1109/ISBI.2012.6235719

Filename

6235719