In object detection of high frequency sonar image, it needs to get the parameters of foreground objects after image segmentation.
在高频声纳图像目标检测中，对图像分割后，需要对前景目标参数进行提取。
The method consists of three steps. Firstly, image segmentation is achieved by watershed transform based on phase congruency gradient and foreground marking to extract image objects.
首先，利用基于相位一致梯度与前景标记的分水岭变换进行影像分割，提取图像斑块；
Finally, we performed morphological filtering on the segmentation results, in order to eliminate the miscellaneous points and restore the moving foreground of the image sequences.
最后对分割结果进行了形态滤波，以此来消除杂点等，恢复出图像序列中的运动前景。
In order to reduce adverse effect of image segmentation in RBIR, a new method based on partition of foreground and background is proposed.
为了降低RBIR中图像分割的影响，提出了一种基于前景和背景划分的区域图像检索方法。
In order to reduce adverse effect of image segmentation in RBIR, a new method based on partition of foreground and background is proposed.
为了降低RBIR中图像分割的影响，提出了一种基于前景和背景划分的区域图像检索方法。
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