Benner
نضال خضير العبادي ( أستاذ )
كلية التربية - الحاسوب
[email protected]
00964-0-7816033217
 
 
 
Automatic Detection of Exudates in Retinal Images
تحميل
بحث النوع:
هندسة التخصص العام:
IJCSI اسم الناشر:
اسماء المساعدين:
International Journal of Computer Science Issues الجهة الناشرة:
Vol. 10, Issue 2, No 1  
2013 سنة النشر:

الخلاصة

Diabetic retinopathy is a major cause of blindness. Earliest signs of diabetic retinopathy are damage of blood vessels in the eye and then formation of lesions in the retina. This paper presents an automated method for detection of bright lesions (exudates) in retinal images. New methods are developed to localize and isolate the optic disk and detect the exudates. A novel algorithm is presented to localize the optic disk and treat the confusion due to similarity between exudates and optic disk. The algorithm use specific color channels and some of image features to separate exudates from physiological features in digital fundus images. The algorithm is tested on many images from published database and gives excellent and promise results.