Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2714
Title: Underwater Image Registrtion With Improved SIFT Algorithm
Authors: Raut, Sukhada
Pati, Umesh Chandra
Keywords: Underwater image registration
SIFT
Gabor filter
Hausdorff distance
Issue Date: May-2017
Publisher: IEEE
Citation: 2nd International Conference on Recent Trends in Electronics, Information and Communication Technology, Sri Venkateshwara College of Engineering, Bengaluru, India, 19-20 May 2017
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.
Description: Copyright for this paper belongs to proceeding publisher
URI: http://hdl.handle.net/2080/2714
ISBN: 978-1-5090-3774-9
Appears in Collections:Conference Papers

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