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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gu, F. Rzhanov, Y. |
| Copyright Year | 2006 |
| Description | Author affiliation: Center for Coastal & Ocean Mapping, New Hampshire Univ., Durham, NH (Gu, F.; Rzhanov, Y.) |
| Abstract | Typical problems for creation of consistent underwater mosaic are misalignment and inhomogeneous illumination of the image frames, which causes visible seams and consequently complicates post-processing of the mosaics such as object recognition and shape extraction. Two recently developed image blending methods were explored in the literature: "gradient domain stitching" and "graph-cut" method, and they allow for improvement of illumination inconsistency and "ghosting" effects, respectively. However, due to the specifics of underwater imagery, these two methods cannot be used within a straightforward manner. In this paper, a new improved blending algorithm is proposed based on these two methods. By comparing with the previous methods from a perceptual point of view and as a potential input for pattern recognition algorithms, our results show an improvement in decreasing the mosaic degradation due to feature doubling and rapid illumination change |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 5402787 |
| Page Count | 5 |
| File Format | |
| ISBN | 1424401143 |
| DOI | 10.1109/OCEANS.2006.307037 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-09-18 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Lighting Shape Object recognition Degradation Brightness Sea measurements Oceans Pattern recognition Geology Data mining |
| Content Type | Text |
| Resource Type | Article |
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