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Digital Fundus Image Stitching for Generation of Retinal Mosaicto Help Ophthalmologists

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dc.contributor.author M. Usman Akbar
dc.contributor.author M. Usman Akram
dc.contributor.author Adeel M. Syed
dc.contributor.author Joddat Fatima
dc.date.accessioned 2018-12-06T13:09:19Z
dc.date.available 2018-12-06T13:09:19Z
dc.date.issued 2016
dc.identifier.uri http://hdl.handle.net/123456789/7961
dc.description.abstract These days medical Imaging is a very important field and is helping doctors in various ways to diagnose diseases and treat them. Fundus image is used by doctors has a limited field of view and to overcome this problem a new technique is presented in this paper to stitch the images together to generate a mosaic image. Proposed methodology uses Weber local descriptor for feature extraction and then a new technique is presented for seamless stitching. A locally gathered database is used and results are compared with other state of the art techniques. Significance of proposed system can be seen from the results generated. en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.subject Department of Software Engineering en_US
dc.title Digital Fundus Image Stitching for Generation of Retinal Mosaicto Help Ophthalmologists en_US
dc.type Article en_US


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