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AUTOMATED SEGMENTATION OF RETINAL BLOOD VESSELS USING OPTIMIZED GABOR FILTER WITH LOCAL ENTROPY THRESHOLDING
Authors
K. Sai. Prasanth,N.Kishore Kumar,B. Abhishikth,B santhi kiran
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Keywords
Diabetic mellitus, Retinal blood vessels, Diabetic retinopathy, Optimized Gabor filter, Local entropy thresholding
Abstract
Diabetic retinopathy (DR) is one of the largest cause of blindness that occurs to the retina due to diabetes mellitus. It is a serious sight-threatening complication of diabetes. Around 80 percent of the people having diabetes for 20 years or more are affected with diabetic retinopathy. Blood vessels in retina play a vital role in medical diagnosis of diabetic retinopathy. In addition, many diseases like hypertension, autoimmune disorders, high cholesterol, and cancer can also be detected. Segmentation of blood vessels is helpful for ophthalmologists to detect patients suffering with diabetic retinopathy.
Imaging and computer vision systems offer the ability to quantitatively determine the human physiology. Manual interpretation requires tremendous amount of work, expertise, and processing time. Automated segmentation offers a varied range of applications in the field of biomedical imaging. In this project, an algorithm comprising optimized Gabor filter with local entropy Thresholding was utilized for automatic segmentation of blood vessels. The frequency and orientation of Gabor filter is tuned to match part of blood vessels that are to be enhanced. The classification of blood vessel pixels is done using local entropy Thresholding technique. The proposed algorithm is evaluated on the DRIVE database and is shown to provide an average accuracy (ACC) of 97.72% and sensitivity (Se) of 98.15%. Results indicate that the proposed approach presents a path toward precise and automated diabetic retinopathy diagnosis on a massive scale.
IJCRT's Publication Details
Unique Identification Number - IJCRT1802611
Paper ID - 182826
Author type - Indian Author
Page Number(s) - 1310-1316
Pubished in - Volume 6 | Issue 1 | February 2018
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No Of Downloads - 1086
Author Country - 520004, India, VIJAYAWADA, VIJAYAWADA, India, Science & Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
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K. Sai. Prasanth,N.Kishore Kumar,B. Abhishikth,B santhi kiran, "AUTOMATED SEGMENTATION OF RETINAL BLOOD VESSELS USING OPTIMIZED GABOR FILTER WITH LOCAL ENTROPY THRESHOLDING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.1310-1316, February 2018, Available at :http://www.ijcrt.org/papers/IJCRT1802611.pdf
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