Abstract:
We present a novel technique for retrospective illumination correction of retinal fundus images from the sparsity property of image gradient distribution. It can automati...Show MoreMetadata
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.
Date of Conference: 02-05 May 2012
Date Added to IEEE Xplore: 12 July 2012
ISBN Information: