On Sonar Image Processing Techniques for Detection and Localization of Underwater Objects

Abstract:

This paper presents an underwater object detection and localization system based on multi-beam sonar image processing techniques. Firstly, sonar data flow collected by multi-beam sonar is processed by median filter to reduce noise. Secondly, an improved adaptive thresholding method based on Otsu method is proposed to extract foreground objects from sonar image. Finally, the object’s contour is calculated by Moore-Neighbor Tracing algorithm to locate the object. Experiments show that the proposed system can detect underwater objects quickly and the figure out the position of objects accurately.

• Periodical: Applied Mechanics and Materials (Volumes 236-237)
• Pages: 509-514
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.236-237.509
• Online since: November 2012
• Authors: Li Yuan Weng, Min Li, Zhen Bang Gong
• Keywords: AUV, Localization, Sonar Image Processing, Underwater Object Detection

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