Name
Abstract | ||
|---|---|---|
It is a great challenging task to complete an automatic search of objects underwater. Usually the forward looking sonar is used to find the target, and then the initial identification of the target is completed by the side-scan sonar, and finally the confirmation of the target is accomplished by underwater TV. This paper presents an efficient method for automatic extraction of man-made sensitive targets in underwater TV. Firstly, the image of underwater TV is simplified with taking full advantage of the prior knowledge of the target and the background: then template matching technology is used for target detection: finally the target is confirmed by extracting parallel lines on the target contour. The algorithm is formulated for real-time execution on limited-memory commercial-of-the-shelf platforms and is capable of detection objects in underwater TV. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1117/12.2288345 | Proceedings of SPIE |
Keywords | Field | DocType |
Target detection,template matching,extracting parallel lines,underwater TV | Computer vision,Object detection,Computer science,Artificial intelligence,Underwater | Conference |
Volume | ISSN | Citations |
10611 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Binbin Cheng | 1 | 0 | 0.34 |
| Wang Wenwu | 2 | 14 | 4.75 |
| yao chen | 3 | 24 | 9.82 |