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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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2017_RTEICT_Underwater_SRout.pdf | 917.49 kB | Adobe PDF | View/Open |
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