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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 |