DETEKSI EKSUDAT PADA CITRA RETINA MENGGUNAKAN MEAN SHIFT SEGMENTATION DAN ADAPTIVE THRESHOLDING

ABSARI, TRIMONA and Erwin, Erwin (2020) DETEKSI EKSUDAT PADA CITRA RETINA MENGGUNAKAN MEAN SHIFT SEGMENTATION DAN ADAPTIVE THRESHOLDING. Undergraduate thesis, Sriwijaya University.

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Abstract

Diabetic retinopathy is the retinal damage of people with diabetes mellitus. Diabetic retinopathy suffer can vision to decline until the suffer is blind for a long time. Diabetes disease is characterized by the appearance of several disorders. Abnormalities that accur in the retina one of which is describe by exudate. Exudate is the main sign of diabetic retinopathy caused by leakage and dilation of blood vessels around the retina. Exudate in the form of dots or spots that have a yellowish color with various shapes and fairly high contrast. In this final project research the authors conducted the exudate detection study using Mean Shift Segmentation and Adaptive Thresholding to diagnose diseases of the retina. In thir study the authors used the STARE dataset. The first convert the original image into a RGB to Luv, eliminate fine lines in the image by using mean shift segmentation. after that the image will be converted to grayscale. Then, it will be converted into a green channel. Then, the image will be detected in the exudate candidate area using illumination correction. Enhance the contrast of retinal images with contrast adjustments. Next, removal of the optical disk. After remove the optic disk the detection of exudate is done by segmentation using adaptive thresholding. then the removal of small objects that can interfere with exudate detection. Then, to remove small holes and to refine the contour morphology closing is used. Next, use ROI to remove the outline on the retina. Using this method, getting the average result for accuracy of 97.87% and spesificity of 96.71%.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: DiabetiK Retinopati, Optick Disk, Adaptive Thresholding, Mean Shift Segmentation
Subjects: T Technology > T Technology (General) > T351-385 Mechanical drawing. Engineering graphics
T Technology > T Technology (General) > T351-385 Mechanical drawing. Engineering graphics > T355 Structural drawing
Divisions: Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User: Trimona Absari
Date Deposited: 22 Sep 2020 03:48
Last Modified: 22 Sep 2020 03:48
URI: http://repository.unsri.ac.id/id/eprint/33654

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