A man-made object detection for underwater TV

Binbin Cheng; Wenwu Wang; Yao Chen

doi:10.1117/12.2288345

8 March 2018 A man-made object detection for underwater TV

Binbin Cheng, Wenwu Wang, Yao Chen

Proceedings Volume 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 106111M (2018) https://doi.org/10.1117/12.2288345
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China

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.

Citation Download Citation

Binbin Cheng, Wenwu Wang, and Yao Chen "A man-made object detection for underwater TV", Proc. SPIE 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 106111M (8 March 2018); https://doi.org/10.1117/12.2288345

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