Automatic diagnosis of diabetic retinopathy from fundus images using digital signal and image processing techniques

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dc.contributor.authorAibinu, A. M.
dc.contributor.authorIqbal, Muhammad I.
dc.contributor.authorNilsson, M.
dc.contributor.authorSalami, Momoh-Jimoh E.
dc.date.accessioned2019-08-14T14:16:37Z
dc.date.available2019-08-14T14:16:37Z
dc.date.issued2011-11-28
dc.description.abstractAutomatic diagnosis and display of diabetic retinopathy from images of retina using the techniques of digital signal and image processing is presented in this paper. The acquired images undergo pre-processing to equalize uneven illumination associated with the acquired fundus images. This stage also removes noise present in the image. Segmentation stage clusters the image into two distinct classes while the abnormalities detection stage was used to distinguish between candidate lesions and other information. Methods of diagnosis of red spots, bleeding and detection of vein-artery crossover points have also been developed in this work using the color information, shape, size, object length to breadth ration as contained in the acquired digital fundus image. The algorithm was tested with a separate set of 25 fundus images. From this, the result obtained for Microaneurysms and Haemorrhages diagnosis shows the appropriateness of the method.en_US
dc.identifier.citationAibinu, A. M., Iqbal, M. I., Nilsson, M., & Salami, M. J. E. (2007, November). Automatic diagnosis of diabetic retinopathy from fundus images using digital signal and image processing techniques. In International Conference on Robotics, Vision, Information, and Signal Processing (pp. 510-515).en_US
dc.identifier.urihttp://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/473
dc.language.isoenen_US
dc.publisherInternational Conference on Robotics, Vision, Information, and Signal Processingen_US
dc.subjectDiabetic Retinopathyen_US
dc.subjectFundus Imageen_US
dc.subjectDigital Image Processingen_US
dc.subjectSegmentationen_US
dc.subjectRetinaen_US
dc.titleAutomatic diagnosis of diabetic retinopathy from fundus images using digital signal and image processing techniquesen_US
dc.typeArticleen_US
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