Adaptive motion-compensated temporal filtering of sector scan sonar image sequences

Bin Shen, S. Perry, D. Fraser
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引用次数: 3

Abstract

We present an adaptive weighted temporal averaging filter with implicit motion-compensation for effective object enhancement in sector scan sonar image sequences. Visual blurring artifacts introduced by the temporal filtering process due to motion of the sonar platform are minimized by accurate motion estimation and compensation. An algorithm is proposed to perform object boundary extraction for better motion estimation. Motion estimation is performed directly on polar image sequences using cross-correlation followed by a Minimum Mean Square Error (MMSE) method. Each pixel of the filtered image is computed as the weighted average of the image pixel values over successive frames after motion compensation. The performance of the proposed filter is tested using real sector scan sonar image sequences and the results are compared with those obtained using the temporal averaging and motion compensated temporal averaging filters.
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扇形扫描声纳图像序列的自适应运动补偿时间滤波
为了有效增强扇形扫描声纳图像序列中的目标,提出了一种带隐式运动补偿的自适应加权时间平均滤波器。通过精确的运动估计和补偿,最大限度地减少了声纳平台运动引起的时域滤波产生的视觉模糊现象。为了更好地进行运动估计,提出了一种目标边界提取算法。运动估计是直接在极图像序列上进行的,使用互相关和最小均方误差(MMSE)方法。滤波后图像的每个像素被计算为经过运动补偿的连续帧上图像像素值的加权平均值。用实际扇形扫描声纳图像序列测试了该滤波器的性能,并与时间平均滤波器和运动补偿时间平均滤波器的性能进行了比较。
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