Detection of Glaucoma and Hypertension using Artery or Vein Classification

Mr. Rahul Ramachandran; Ms.Chithra.k; Ms. AleenaT.A

CALL FOR PAPERS : Feb-2026

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25-Feb-26

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Detection of Glaucoma and Hypertension using Artery or Vein Classification

Author(s):

Mr. Rahul Ramachandran , Thejus Engineering College; Ms.Chithra.k, Thejus Engineering College; Ms. AleenaT.A, Thejus Engineering College

Keywords:

Arteries and Veins, BGM, FFN, Retinal vessel classification, Vessel segmentation

Abstract:

This paper recognizes the detection of vascular changes in retinal vessels. From the retinal vasculature, artery/vein classification is done. It classifies the types of graph nodes and assigns graph links for one of two labels. Finally for the classification of artery/vein (A/V), graph based labeling results with a set of intensity features are performed. For doing this, list of 30 features are to be extracted. To measure the distance between nodes, a biometric graph matching algorithm (BGM) is used. In this diseases like glaucoma, hypertension is detected by using feed forward neural network (FFN).A gray level co-occurrence matrix (GLCM) is used for feature extraction. Here STARE, DRIVE, MESSIDOR databases are used.