DocumentCode :
3158759
Title :
Edge sharpening for diabetic retinopathy detection
Author :
Yazid, Haniza ; Arof, Hamzah ; Mokhtar, Norrima
Author_Institution :
Electr. Eng. Dept., Univ. of Malaya, Kuala Lumpur, Malaysia
fYear :
2010
fDate :
28-30 June 2010
Firstpage :
41
Lastpage :
44
Abstract :
People with diabetes may face eye problem as a complication of diabetes. These eye problems can cause vision loss and even blindness. There are several lesions that appear such microaneurysms, hemorrhages, cotton wool spots and exudates. Exudates tend to form ring, around area of diseased vessel and appeared as yellowish-white deposits with well-defined edges meanwhile cotton wool spots are grayish-white with poorly defined fluffy edges. Exudates can be highlighted from the background easier rather than cotton wool spots since it has well defined edge. In order to detect these lesions, a proper technique is needed to segment the cotton wool spots and exudates from the background. Therefore, this paper is proposed to sharpen the edge to simplify the segmentation process for cotton wool spots and exudates through ramp width reduction.
Keywords :
edge detection; eye protection; image segmentation; medical image processing; blindness; cotton wool spots; diabetic retinopathy detection; diseased vessel; edge sharpening; exudates; eye problem; hemorrhages; microaneurysms; vision loss; Biomedical imaging; Cotton; Diabetes; Face detection; Hemorrhaging; Image edge detection; Lesions; Retina; Retinopathy; Wool; diabetic retinopathy; edge sharpening; exudates detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cybernetics and Intelligent Systems (CIS), 2010 IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-6499-9
Type :
conf
DOI :
10.1109/ICCIS.2010.5518585
Filename :
5518585
Link To Document :
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