Automatic Exudate Detection from Non-dilated Diabetic Retinopathy Retinal Images Using Fuzzy C-means Clustering
نویسندگان
چکیده
منابع مشابه
Automatic Exudate Detection from Non-dilated Diabetic Retinopathy Retinal Images Using Fuzzy C-means Clustering
Exudates are the primary sign of Diabetic Retinopathy. Early detection can potentially reduce the risk of blindness. An automatic method to detect exudates from low-contrast digital images of retinopathy patients with non-dilated pupils using a Fuzzy C-Means (FCM) clustering is proposed. Contrast enhancement preprocessing is applied before four features, namely intensity, standard deviation on ...
متن کاملAutomatic Exudates Detection from Non-dilated Diabetic Retinopathy Retinal Image Using Fuzzy C-means Clustering
Exudates are the primary signs of diabetic retinopathy which are mainly cause of blindness. It could be prevented with an early screening process. Pupil dilation is required in the normal screening process but this affects patients’ vision. Automatic computerized screening should facilitate screening process, reduce inspection time and increase accuracy. In this paper we proposed an automatic m...
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Diabetic retinopathy is a complication of diabetes that is caused by changes in the blood vessels of the retina. The symptoms can blur or distort the patient's vision and are a main cause of blindness. Exudates are one of the primary signs of diabetic retinopathy. Detection of exudates by ophthalmologists normally requires pupil dilation using a chemical solution which takes time and affects pa...
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Automatic Detection of Exudates and Microaneurysms from Non-Dilated Diabetic Retinopathy Retinal Images S.Sankaranarayanan, Dr.,M.Anto Bennet Department of Electronics and Communication Engineering, VELTECH Avadi-Chennai600062, Tamilnadu, India __________________________________________________________________________________________ Abstract: Exudates are one of the earliest and most prevalent...
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In this paper, a method for automatic detection of microaneurysms in digital eye fundus image is described. To develop an automated diabetic retinopathy screening system, a detection of dark lesions in digital fundus photographs is needed. Microaneurysms are the first clinical sign of diabetic retinopathy and they appear small red dots on retinal fundus images. The number of microaneurysms is u...
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ژورنال
عنوان ژورنال: Sensors
سال: 2009
ISSN: 1424-8220
DOI: 10.3390/s90302148