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@article{168290,
        author = {DIVYA C KUMAR and Shwetha G K},
        title = {Automated Detection of Optic Disc and Blood Vessels Extraction in Retinal Fundus Images},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {486-491},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168290},
        abstract = {Glaucoma is a major administering cause of blindness. An approach automatic localization of important features such as optic disc, blood vessels and  the detection of glaucoma  using a retinal image which mainly affects the optic disc by increasing the cup size is proposed in this paper. Automatic optic disc localization is done by a k-means algorithm. A local entropy thresolding approach followed by length filtering is proposed for blood vessels extraction. A method is proposed for segmentation of the optic disc and cup in retinal  image based on morphology operation to use cup to disc ratio to distinguish between the glaucoma and non glaucoma in retinal image. The proposed method was tested on DRIVE database. The methods achieve 92.5% for optic disc and 100% for blood vessel extraction.},
        keywords = {Blood Vessels, Cup to Disc Ratio (CDR), Glaucoma, Optic Disc.},
        month = {October},
        }