Underwater Image Registrtion With Improved SIFT Algorithm

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2714

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DC Field	Value	Language
dc.contributor.author	Raut, Sukhada	-
dc.contributor.author	Pati, Umesh Chandra	-
dc.date.accessioned	2017-05-31T06:06:02Z	-
dc.date.available	2017-05-31T06:06:02Z	-
dc.date.issued	2017-05	-
dc.identifier.citation	2nd International Conference on Recent Trends in Electronics, Information and Communication Technology, Sri Venkateshwara College of Engineering, Bengaluru, India, 19-20 May 2017	en_US
dc.identifier.isbn	978-1-5090-3774-9	-
dc.identifier.uri	http://hdl.handle.net/2080/2714	-
dc.description	Copyright for this paper belongs to proceeding publisher	en_US
dc.description.abstract	Underwater 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.publisher	IEEE	en_US
dc.subject	Underwater image registration	en_US
dc.subject	SIFT	en_US
dc.subject	Gabor filter	en_US
dc.subject	Hausdorff distance	en_US
dc.title	Underwater Image Registrtion With Improved SIFT Algorithm	en_US
dc.type	Article	en_US
Appears in Collections:	Conference Papers

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