Detection of hard exudates from diabetic retinopathy images using fuzzy logic

نویسندگان

  • N. G. Ranamuka
  • Ravinda G. N. Meegama
چکیده

Diabetic retinopathy, that affects the blood vessels of the retina, is considered to be the most serious complication prevalent among diabetic patients. If detect successfully at an early stage, ophthalmologist would be able to treat the patients by advanced laser treatment to prevent total blindness. In this paper, we propose a technique based on morphological image processing and fuzzy logic to detect hard exudates from diabetic retinopathy retinal images. At the initial stage, the exudates are identified using mathematical morphology that includes elimination of the optic disc. Subsequently, hard exudates are extracted using an adaptive fuzzy logic algorithm that uses values in the RGB colour space of retinal image to form fuzzy sets and membership functions. The fuzzy output for all the pixels in every exudate is calculated for a given input set corresponding to red, green and blue channels of a pixel in an exudate. This fuzzy output is computed for hard exudates according to the proportion of the area of the hard exudates. By comparing the results with hand-drawn ground truths, we obtained sensitivity and specificity of detecting hard exudates as 75.43% and 99.99%, respectively. Keywords— Diabetic retinopathy, hard exudates, retinal images

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عنوان ژورنال:
  • IET Image Processing

دوره 7  شماره 

صفحات  -

تاریخ انتشار 2013