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- W3048356302 abstract "The retina is the part of the eye that protects parts of light-sensitive cells. The retina consists of four main parts, namely theblood vessel system, fovea, macula and optic discs. Blood vessels are one of the characteristics that can help in thediagnosis of various retinal diseases. This research discusses the application of algorithms for detection of blood vessels inoptic discs. The blood vessels are segmented using the Maximum Principal Curvature algorithm. Before the segmentationprocess, images are filtered using a Gaussian filters and the optic disc removal is performed. After that the segmentation ofvessels uses Wolf thresholding to convert images into binary images. The final step in blood vessels segmentation isremoving fine lines that are not vessels using morphological operations. Optic disc detection is done using Prewitt edgedetection and circular Hough transform. In optic disc detection, the input image is converted to grayscale and thencomplemented and improved contrast using contrast-limited adaptive histogram equalization. Then, the opening morphology and median filter were performed. After that, the Prewitt edge and circular Hough transform methods are appliedto detect the location of the optic disc. After getting the blood vessel segmentation and knowing the location of optic disc,the last stage is combining the results of blood vessel segmentation with the location of the optic disc. The methods appliedare quite efficient in detecting blood vessels at the optic location of the disc." @default.
- W3048356302 created "2020-08-13" @default.
- W3048356302 creator A5038660486 @default.
- W3048356302 date "2020-08-01" @default.
- W3048356302 modified "2023-09-23" @default.
- W3048356302 title "Detection of Blood Vessels in Optic Disc with Maximum Principal Curvature and Wolf Thresholding Algorithms for Vessel Segmentation and Prewitt Edge Detection and Circular Hough Transform for Optic Disc Detection" @default.
- W3048356302 hasPublicationYear "2020" @default.
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