Specific target recognition and segmentation algorithm for real-time side scan sonar images

Lei Wang, M. Li, Xiufen Ye, Tian Wang
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Abstract

We propose a specific target recognition and segmentation algorithm to address the segmentation problem in real-time side scan sonar images. Using auxiliary information, shape, size and position relationship, we can improve the efficiency and effectiveness of sonar image segmentation. First, we give the method of segment isolated target, combine with this method, we address the segmentation problem of special size target and give the shape relationships of objects and shadows. Then, we propose an area judgment method to recognition different objects using these relationships. Experimental results show that the segmentation and recognition algorithm is good and effective.
针对实时侧扫声纳图像的特定目标识别与分割算法
针对实时侧扫声纳图像的分割问题,提出了一种特定的目标识别与分割算法。利用辅助信息、形状、大小和位置关系,可以提高声纳图像分割的效率和有效性。首先给出了分割孤立目标的方法,结合该方法解决了特殊尺寸目标的分割问题,给出了目标与阴影的形状关系。然后,我们提出了一种利用这些关系来识别不同目标的面积判断方法。实验结果表明,该算法具有良好的分割和识别效果。
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