...图像梯度；声纳图像；Demons算法[gap=1146]Key words: image registration; mutual information; image gradient; sonar images; Demons algorithm...
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This paper presents a Fourier analysis method for target detection in side-scan image. Using horizon line, vertical line, slope 45° line and slope 135° line spectral mask, the projection of side-scan sonar image in these orientation is obtained.
运用傅里叶分析方法，利用水平方向、垂直方向、45°方向和135°方向直线的频域模板对侧扫声纳图像在4个方向上进行投影分解，根据子图像在4个方向上投影的能量和，设定门限判断有无目标，并粗略估计目标的位置。
参考来源 - 基于图像频域方向模板的目标检测方法·2,447,543篇论文数据，部分数据来源于NoteExpress
不准确的多普勒中心估计会显著降低合成孔径声纳图像质量。
The inaccurate Doppler centroid estimation can evidently degrade the quality of SAS image.
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。
In object detection of high frequency sonar image, it needs to get the parameters of foreground objects after image segmentation.
另外，本文还较详尽的研究了伪彩色增强技术在声纳图像实时显示中的应用。
Moreover, detailed research of the application of pseudo colored enhancement technology in real time display was carried out.
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