Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2714
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dc.contributor.authorRaut, Sukhada-
dc.contributor.authorPati, Umesh Chandra-
dc.date.accessioned2017-05-31T06:06:02Z-
dc.date.available2017-05-31T06:06:02Z-
dc.date.issued2017-05-
dc.identifier.citation2nd International Conference on Recent Trends in Electronics, Information and Communication Technology, Sri Venkateshwara College of Engineering, Bengaluru, India, 19-20 May 2017en_US
dc.identifier.isbn978-1-5090-3774-9-
dc.identifier.urihttp://hdl.handle.net/2080/2714-
dc.descriptionCopyright for this paper belongs to proceeding publisheren_US
dc.description.abstractUnderwater image registration is widely needed for various applications these days. Research has been carried out widely in the area of image registration. Underwater images are degraded due to various factors. For the feature detection and matching, Scale Invariant Feature Transform (SIFT) is the technique used most of the times. This paper proposes improvements in SIFT in order to achieve better registration of underwater images. Gabor filter is used as prefilter and Hausdorff distance is used to calculate distance between two keypoints. More number of keypoints is detected and proper matching is achieved with this modified algorithm.en_US
dc.publisherIEEEen_US
dc.subjectUnderwater image registrationen_US
dc.subjectSIFTen_US
dc.subjectGabor filteren_US
dc.subjectHausdorff distanceen_US
dc.titleUnderwater Image Registrtion With Improved SIFT Algorithmen_US
dc.typeArticleen_US
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