Glaucoma Screening Based On Super Pixel Classification and the Detection of Macula In Human Retinal Imagery

Abstract
Authors
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References

Glaucoma is a chronic eye disease that leads to vision loss. As it cannot be cured, detecting the disease in time is important. Current tests using intraocular pressure (IOP) are not sensitive enough for population based glaucoma screening. Optic nerve head assessment in retinal fundus images is both more promising and superior. This paper proposes optic disc and optic cup segmentation using super pixel classification for glaucoma screening. In optic disc segmentation, histograms and centre surround statistics are used to classify each super pixel as disc or non-disc The methods can be used for segmentation and glaucoma screening. The self assessment will be used as an indicator of cases with large errors and enhance the clinical deployment of the automatic segmentation and screening. Macula is the major landmark for retinal fundus image registration and is indispensible for the quick understanding of retinal images. For the detection and subsequent extraction of macula, we first perform bit plane decomposition to the preprocessed image. The bit plane 0 and bit plane 1 are found to carry vital information of the location and boundary of macula. Then we locate the exact boundary by means of mathematical morphology. The proposed algorithm is computationally simple and does not require a prior knowledge of other retinal image features like optic disc or vasculature.

Published In : IJCAT Journal Volume 1, Issue 5

Date of Publication : 30 June 2014

Pages : 153 - 161

Figures : 04

Tables : 01

Publication Link : Glaucoma Screening Based On Super Pixel Classification and the Detection of Macula In Human Retinal Imagery

SUBI.P.P : Received her B.Tech Degree in Electronics and Communication Engineering from Coorg Institute of Technology, Visvesvaraya Technological University , Karnataka, India in 2012.Currently doing her M.Tech in Digital Electronics and Communication Engineering at SDIT, Visvesvaraya Technological University, Karnataka, India.

Optic disc segmentation

optic cup segmentation

glaucoma screening

macula

bit plane decomposition

mathematical morphology

Optic cup and disc segmentation based on super pixel classification and a novel macula localization and extraction algorithm is proposed in this paper. The algorithm is superior to the existing algorithms in terms of computational time and accuracy.

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