Research on underwater sound image enhancement algorithm based on fuzzy theory

Jingying Wang; Bing Jia; Zhizhuan Wang; Wenhao Liu; Yang Zhang

doi:10.1117/12.3029843

21 June 2024 Research on underwater sound image enhancement algorithm based on fuzzy theory

Jingying Wang, Bing Jia, Zhizhuan Wang, Wenhao Liu, Yang Zhang

Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 131672R (2024) https://doi.org/10.1117/12.3029843
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China

Abstract

With the rapid development of water resources, the health problems of underwater facilities have attracted more and more attention. Aiming at the surface health problems of underwater facilities and avoiding the requirements of optical methods on light and water quality, research on underwater acoustic images was carried out. The fuzzy theory and membership function were used to filter pixels, and the features in acoustic images were obtained and the typical features in traditional acoustic images were compared and analyzed. Compared with traditional methods, fuzzy theory can extract the typical features of images better.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jingying Wang, Bing Jia, Zhizhuan Wang, Wenhao Liu, and Yang Zhang "Research on underwater sound image enhancement algorithm based on fuzzy theory", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 131672R (21 June 2024); https://doi.org/10.1117/12.3029843

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