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DC Field | Value | Language |
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dc.contributor.author | Attard, Leanne | - |
dc.contributor.author | Debono, Carl James | - |
dc.contributor.author | Valentino, Gianluca | - |
dc.contributor.author | Castro di, Mario | - |
dc.date.accessioned | 2018-03-26T10:22:52Z | - |
dc.date.available | 2018-03-26T10:22:52Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Attard, L., Debono, C. J., Valentino, G., & Di Castro, M. (2017). Image mosaicing of tunnel wall images using high level features. 10th International Symposium on Image and Signal Processing and Analysis, ISPA 2017, Ljubljana. 141-146. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/28255 | - |
dc.description.abstract | This paper proposes a novel approach for position offset correction of images taken from a moving robotic platform in tunnel environments using image mosaicing. An image mosaic is formed by combining multiple images which capture overlapping components of a scene into a larger image. Unlike current image mosaicing methods, which use low-level features such as corners, our method uses binary edges as high-level features for image registration via template matching. This is necessary since such low-level features are absent or rare in tunnel environments. A shading correction algorithm is applied as a pre-processing step to adjust the uneven illumination present in this environment. This technique is simple and efficient while being robust to small camera rotations and small variations in camera distance from the wall. Experimental results show that our method contributes to good image mosaicing results with a low computational complexity, which is attractive for real-time image-based inspection applications. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Image registration | en_GB |
dc.subject | Image processing | en_GB |
dc.subject | Image processing -- Digital techniques | en_GB |
dc.title | Image mosaicing of tunnel wall images using high level features | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.bibliographicCitation.conferencename | 10th International Symposium on Image and Signal Processing and Analysis, ISPA 2017 | en_GB |
dc.bibliographicCitation.conferenceplace | Ljubljana, Slovenia, 18-20/09/2017 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1109/ISPA.2017.8073585 | - |
Appears in Collections: | Scholarly Works - FacICTCCE |
Files in This Item:
File | Description | Size | Format | |
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Image_Mosaicing_of_Tunnel_Wall_Images_using_2017.pdf Restricted Access | 2.28 MB | Adobe PDF | View/Open Request a copy | |
Image_mosaicing_of_tunnel_wall_images_using_high_level_features.pdf Restricted Access | 863.49 kB | Adobe PDF | View/Open Request a copy |
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