A Sonar Image Segmentation Algorithm based on Two-Dimensional Spatio-Temporal Fuzzy Entropy

Firstly, this article introduces a two-dimensional fuzzy entropy threshold segmentation method, taking characteristics of underwater sonar image of moving target into account, the concept of time in the traditional frame difference motion detection method is used. To determine the grayscale image segmentation threshold, a two-dimensional spatio-temporal fuzzy entropy algorithm is established. The algorithm is used in forward-looking sonar image threshold segmentation to verify the applicability and good performance. Compared to other threshold algorithms, the algorithm of this article can obtain better segmentation threshold value and have more advantages in the processing of sonar image which contains more noise.