Abstract
Aiming at the problems of speckle noise, seafloor background scattering interference and lack of texture feature in SAS images, an underwater torpedo-shaped artificial target detection algorithm based on Meanshift filtering and Ostu algorithm was proposed. Firstly, based on the image characteristics, the Meanshift filtering algorithm is used to confirm a appropriate threshold to achieve a smoothing effect, and eliminate the strong background speckle noise. Secondly, Ostu algorithm is used to perform binarization according to the histogram statistical information after image gray-scale. Finally, the Region growth method is used to find and eliminate the large and unrelated white areas, meanwhile, fill the holes in the target to obtain a relatively complete target contour. The experimental results show that the algorithm is simple, has a strong ability to overcome the background noise. The automatic detection of the target is accurate. The algorithm is stable with a strong engineering value.
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