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    Image Processing Based Analysis of Fundus Images for Glaucoma Detection

    Abstract: Precise and prompt identification of glaucoma is essential for its treatment. Fundus images provide important information, which shall be extracted using carefully designed image processing algorithms. The paper discusses a methodology for automatic detection of glaucoma from fundus images. The technique makes use of an elaborate image segmentation process, wavelet decomposition for feature selection and a proven classification model.Keywords: Glaucoma, fundus image, discrete wavelet transform, SVM classifierCite this ArticleShibina M.P, …

    Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 1, 2018 · pp. 33–39 Read article

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