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Proceedings Paper

A real-time noise suppression method for target image on unmanned underwater vehicle platform
Author(s): Zhuofan Xu; Xia Hua; Yu Shi; Hanyu Hong
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Paper Abstract

This paper analyzes the causes of image noise in seawater and the influence of noise on the target image of UUV(unmanned underwater vehicle), and points out the shortcomings of existing methods of noise suppression. In view of the above problems, we propose a real-time noise suppression method for the target image of the UUV platform. The algorithm is divided into three steps: (1) Firstly, the image is binarized by finding an appropriate threshold based on the dispersion between classes. (2) Then, the binary image is subjected to rapid morphological processing to separate the sticky noise. (3) Finally, the target connected domain is calibrated by the four-neighbor method and the pixel values outside the target are gradually reduced based on the principle of human vision to achieve the purpose of noise suppression. Experiments and results show that the method is able to preserve the edge and details of the target well, suppress the noise, and the speed is fast, which satisfies the accuracy and timeliness required for underwater video processing.

Paper Details

Date Published: 14 February 2020
PDF: 8 pages
Proc. SPIE 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 1143214 (14 February 2020); doi: 10.1117/12.2538196
Show Author Affiliations
Zhuofan Xu, Hubei Key Lab. of Optical Information and Pattern Recognition (China)
Hubei Research Ctr. of Video Image and High Definition Projection (China)
Wuhan Institute of Technology (China)
Xia Hua, Hubei Key Lab. of Optical Information and Pattern Recognition (China)
Wuhan Institute of Technology (China)
Yu Shi, Hubei Key Lab. of Optical Information and Pattern Recognition (China)
Hubei Research Ctr. of Video Image and High Definition Projection (China)
Hanyu Hong, Hubei Key Lab. of Optical Information and Pattern Recognition (China)
Hubei Research Ctr. of Video Image and High Definition Projection (China)
Wuhan Institute of Technology (China)


Published in SPIE Proceedings Vol. 11432:
MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Zhiguo Cao; Jie Ma; Zhong Chen; Yu Shi, Editor(s)

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