Classification of Glaucoma Using K-Mean Clustering with Optic Disk and Cup Segmentation

• Published in: 2022 International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC) pp. 97 - 102
• Main Authors: Surendiran, J., Meena, M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 28.12.2022
• Subjects: CDR; Correlation coefficient; Glaucoma; Instruments; Integrated optics; K-mean clustering; Learning systems; Optical fiber networks; Shape; Visualization
• DOI: 10.1109/ICMACC54824.2022.10093284

Image division is significant in advanced picture handling since it assists with portioning the picture. Numerous division approaches have been utilized in the field of picture handling to find ailments. One of the dangerous common explanations behind disabled vision is glaucoma. The optic cup and optic circle's size, shape, and structure are utilized to analyze it. The cup size fills in glaucoma people with harmed eyes though this circle district continues as before, bringing about an ascent in the CDR (Cup to Disk Ratio). The distance between the visual field and the optic cup district is estimated utilizing a glaucoma symptomatic instrument called CDR. When contrasted with other picture division draws near, K-mean division is the most frequently utilized approach. It's one of the most essential unaided learning methods for managing the most notable trouble of collection. It is predominantly reliant upon confounded fractional differential conditions. This strategy is not difficult to create, and it can look at countless clinical photographs in a brief period, which was troublesome with the past technique. In contrast with the coefficient of connection and the region under the bend, the recommended strategy yields a lower CDR mistake. The cup to circle proportion (CDR) could have for quite some time been the main calculate glaucoma determination.