Title :
Quantitative clinical marker extraction from colour fundus images for non-proliferative Diabetic Retinopathy grading
Author :
Poddar, Sunrita ; Jha, Bibhash Kumar ; Chakraborty, Chandan
Author_Institution :
Indian Inst. of Technol., Kharagpur, India
Abstract :
This paper proposes robust methods for segmentation of clinically significant features of fundus images, from the point of view of detection and gradation of Diabetic Retinopathy as well as Maculopathy. After pre-processing to remove intra- and inter- image illumination variances, the optic disk and fovea are detected and exudates, haemorrhages and microaneurysms are segmented out using modified morphological techniques. The retina is then divided into circular zones concentric around fovea and the pattern and extent of abnormalities in these zones is used to classify the abnormal images into different grades of non-proliferative diabetic retinopathy (NPDR) and maculopathy.
Keywords :
diseases; feature extraction; image classification; image colour analysis; image segmentation; medical image processing; patient diagnosis; colour fundus image; exudate segmentation; feature segmentation; fovea detection; fundus image segmentation; haemorrhage segmentation; inter-image illumination variance removal; intra-image illumination variance removal; maculopathy; microaneurysm segmentation; morphological technique; nonproliferative diabetic retinopathy grading; optic disk detection; quantitative clinical marker extraction; Biomedical imaging; Blood vessels; Diabetes; Image segmentation; Integrated optics; Optical filters; Optical imaging; Diabetic Retinopathy; exudates; fovea and optic disk segmentation; haemorrhage; microaneurysms;
Conference_Titel :
Image Information Processing (ICIIP), 2011 International Conference on
Conference_Location :
Himachal Pradesh
Print_ISBN :
978-1-61284-859-4
DOI :
10.1109/ICIIP.2011.6108956