A real-time noise suppression method for target image on unmanned underwater vehicle platform

Zhuofan Xu; Xia Hua; Yu Shi; Hanyu Hong

doi:10.1117/12.2538196

14 February 2020 A real-time noise suppression method for target image on unmanned underwater vehicle platform

Zhuofan Xu, Xia Hua, Yu Shi, Hanyu Hong

Proceedings Volume 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 1143214 (2020) https://doi.org/10.1117/12.2538196
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

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.

Citation Download Citation

Zhuofan Xu, Xia Hua, Yu Shi, and Hanyu Hong "A real-time noise suppression method for target image on unmanned underwater vehicle platform", Proc. SPIE 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 1143214 (14 February 2020); https://doi.org/10.1117/12.2538196

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