A diabetic retinopathy detection method using an improved pillar K-means algorithm |
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Authors: | Susmitha valli Gogula CH Divakar CH Satyanarayana Allam Appa Rao |
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Institution: | 1.Department of IT, GITAM University, Patancheru, Medak Dist-502329, India;2.Pydah College of Engineering And Technology, Gambheeram, Anandapuram, Visakhapatnam-531163, India;3.Jawaharlal Nehru Technological University Kakinada, Kakinada, Andhra Pradesh-533003, India;4.C R Rao Advanced Institute Of Mathematics Statistics And Computer Science, University Of Hyderabad Campus, Gachibowli, Hyderabad-500046, India |
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Abstract: | The paper presents a new approach for medical image segmentation. Exudates are a visible sign of diabetic retinopathy that is the
major reason of vision loss in patients with diabetes. If the exudates extend into the macular area, blindness may occur. Automated
detection of exudates will assist ophthalmologists in early diagnosis. This segmentation process includes a new mechanism for
clustering the elements of high-resolution images in order to improve precision and reduce computation time. The system applies
K-means clustering to the image segmentation after getting optimized by Pillar algorithm; pillars are constructed in such a way
that they can withstand the pressure. Improved pillar algorithm can optimize the K-means clustering for image segmentation in
aspects of precision and computation time. This evaluates the proposed approach for image segmentation by comparing with Kmeans
and Fuzzy C-means in a medical image. Using this method, identification of dark spot in the retina becomes easier and the
proposed algorithm is applied on diabetic retinal images of all stages to identify hard and soft exudates, where the existing pillar
K-means is more appropriate for brain MRI images. This proposed system help the doctors to identify the problem in the early
stage and can suggest a better drug for preventing further retinal damage. |
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Keywords: | Diabetic Retinopathy K-Means Fuzzy C-means Pillar k-Means Dark Spots Hard exudates Soft exudates |
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