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Methods for Underwater Sonar Image Processing in Objection Detection

It is important to improve the integrity and accuracy of sonar image target detection, which is significant for underwater detection. In this paper, a variety of sonar image denoising algorithms and segmentation algorithms are studied, and a denoising algorithm based on fast curve transform is proposed. The image segmentation algorithm based on k-means clustering is studied, and the optimal clustering number screening and sonar image subsurface segmentation are realized. The sonar image fast segmentation algorithm based on ICM algorithm and the object contour detection of sonar image based on level set method are realized in Matlab. The results show that the proposed algorithm can improve the noise reduction effect of the sonar image under reverberation interference, and obtain a better image detection effect.