Detection of Macular Edema in Color Retinal Images. |
Author(s): |
| JAYALAKSHMI.V , MUTHAYAMMAL ENGINEERING COLLEGE; SARANYALAKSHMI.T, MUTHAYAMMAL ENGINEERING COLLEGE; KOKILA.D, CMS COLLEGE OF ENGINEERING AND TECHNOLOGY |
Keywords: |
| gray level co- occurrence matrix (GLCM), ANFIS classifier, abnormality region |
Abstract |
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Diabetic macular edema (DME) is an advanced warning sign of diabetic retinopathy and can direct to permanent vision loss. A person having extended term diabetes of more than 10 years is extremely precious by this disease. To recognize the disease we are using automated screening system, the green channel from the retinal color image is divided in order to decrease the noise, erosion, etc. Then the region of interest is extracted from the image. Then specific precious features are selected from the extracted features. By using ANFIS classifiers the given retinal image is recognized as infected or not infected. Finally if it is infected then it classifies the image as moderate (or) severe. |
Other Details |
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Paper ID: IJSRDV2I2246 Published in: Volume : 2, Issue : 2 Publication Date: 01/05/2014 Page(s): 566-569 |
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