Exudate Detection and Feature Extraction Using Active Contour Model and Sift in Color Fundus Images
نویسندگان
چکیده
In the world, Diabetic Retinopathy is the leading cause of vision loss. Early symptoms of this disease are exudates, so early diagnosis and treatment at right time is very important to prevent blindness. In this paper the Active contour model (ACM) is implemented to detect exudates and it is used to obtain accurate borders of lesions, and then the local features of detected exudates are extracted using Scale invariant feature transform(SIFT). The publicly available DiaretDB1 database of color fundus image set is used for testing the implemented method.
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