Research on underwater sound image enhancement algorithm based on fuzzy theory

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.