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A man-made object detection for underwater TV
Author(s): Binbin Cheng; Wenwu Wang; Yao Chen
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Paper 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.

Paper Details

Date Published: 8 March 2018
PDF: 5 pages
Proc. SPIE 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 106111M (8 March 2018); doi: 10.1117/12.2288345
Show Author Affiliations
Binbin Cheng, China Shipbuilding Industry Corp. (China)
Wenwu Wang, Wuhan Univ. of Science and Technology (China)
Yao Chen, China Shipbuilding Industry Corp. (China)


Published in SPIE Proceedings Vol. 10611:
MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Nong Sang; Jie Ma; Zhong Chen, Editor(s)

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