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@article{178085,
        author = {Dasara. Parmila and Dr. D. Yugandhar},
        title = {Optic Disc Localization in Fundus Images Using Jaya and PSO Optimization Techniques},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {8319-8325},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178085},
        abstract = {The accurate localization of the optic disc in fundus images is a crucial step in diagnosing retinal vascular disorders, such as diabetic retinopathy, glaucoma, and age-related macular degeneration. This paper presents an automated methodology that implements Jaya and Particle Swarm Optimization (PSO) algorithms for optic disc localization. A fitness function is proposed by summing pixel intensities and edge strength information, to improve localization accuracy. The proposed methodology is evaluated on multiple publicly available datasets including DIARETDB1, CHASEDB1, DRIONS, and DRIVE. Experimental results demonstrate that the Jaya algorithm outperforms PSO in terms of location accuracy, execution time and distance error. The proposed methodology shows significant promises for supporting optometrists in the automated screening and diagnosis of retinal disorders.},
        keywords = {Image Processing, Jaya Algorithm, Optic Disc Localization, Particle Swarm Optimization (PSO).},
        month = {May},
        }