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For high-resolution side scan sonar images, accurate and fast segmentation of sonar images is crucial for underwater target detection and recognition. However, due to the characteristics of low signal-to-noise ratio (SNR) and complex environmental noise of sonar, the existing methods with high accuracy and good robustness are mostly iterative methods with high complexity and poor real-time performance. For this purpose, a region growing based segmentation using the likelihood ratio testingdoi:10.3390/s21216960 pmid:34770267 pmcid:PMC8588333 fatcat:cbvd2vusjneanj4ceep2y5s3bi