Name
Abstract | ||
|---|---|---|
In this paper, we use the aspect ratio of a vessel for its recognition and classification with overhead images. For aspect ratio extraction, a morphology-based local adaptive threshold method of detection has been applied for a more accurate outline. With Radon transforms on the minimum bounding rectangle regions of those extracted outlines, central axis of each vessel can be got. Thus, the aspect ratio of a vessel could be accurately calculated through scanning the boundary contours of every target by lines along and perpendicular to the direction of central axis. If remote sensing information is also considered, such as the height and pitching angle of shooting, the real values of a vessel can also be calculated. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1117/12.851143 | VISUAL INFORMATION PROCESSING XIX |
Keywords | Field | DocType |
Overhead image, vessel recognition, Radon transformation, aspect ratio, remote sensing information, top view, adaptive threshold, central axis | Computer vision,Minimum bounding rectangle,Perpendicular,Information processing,Adaptive method,Transform theory,Radon,Image processing,Optics,Algorithm,Artificial intelligence,Physics | Conference |
Volume | ISSN | Citations |
7701 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo Sun | 1 | 104 | 21.35 |
| Wei Guo | 2 | 0 | 0.34 |
| Jun He | 3 | 71 | 11.24 |
| Xiaoming Zhu | 4 | 7 | 0.79 |