while it looks round from the information so far, the resolution of the sonar image was not high enough to verify that it is indeed round.
尽管从目前收集到的信息来看这个物体似乎是圆的，可是声纳图像分辨率还不足以说明它确实是圆的。
Proposed is a local path planning method based on sonar image processing.
给出了基于声学图像处理的局部路径规划基本步骤。
The method of histogram equalization is attempted to used in the sonar image, and the result is analyzed.
在图像增强方面，尝试了直方图均衡化增强方法，并对其处理结果进行了分析。
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 median filtering method based upon Rough set theory was applied to the sonar image processing, and the demonstration was given.
将基于粗集理论的中值滤波应用于声呐图像处理中，给出了实验结果。
Compared with optical image, the sonar image resolution is lower, and the sonar image generally has no very complicated graphics to process.
水下声学图像相对于光学图像而言，分辨率相对较低，并且通常不会有特别复杂的图形图案进行处理。
Results show that the method has a perfect performance for regions of interest (target) detection of side-scan sonar image with strong texture.
实验结果证明，该方法对于纹理较强的侧扫声纳图像中感兴趣区域（目标）的检测有较好的效果。
To solve the problem of real time and limit memory space in sonar image recognition system, the dominant gray method to extract and recognize image information is proposed.
针对声纳图像识别系统实时性要求高、存储空间小的特点，提出一种基于主灰度的提取和识别方法，从而降低了特征维数，提高了声纳图像的识别效率。
This article introduces a method to convert JSF format of sonar data into BMP format, to acquire die image-related information and to finally play the sonar image by universal player.
通过读取JSF格式的声呐数据，将其转换成通用的BMP图像格式，用于图像的显示、分析和处理。
Side-scan sonar image (SSI) must be segmented into regions of shadow, sea-bottom-reverberation, and object-highlight before underwater object can automatically be detected and recognized.
为了利用侧扫声呐进行水下目标自动探测和识别，首先必须将声呐图像分为目标高亮区、海底混响区和目标阴影区。
With the practical application of sonar image recognition, comparison and analysis have been done in the selection of several typical wavelet bases which are often used in the image processing.
通过在声纳图像识别中的实际应用，对图像处理中几种典型的小波基的选择进行了比较分析。
With the practical application of sonar image recognition, comparison and analysis have been done in the selection of several typical wavelet bases which are often used in the image processing.
通过在声纳图像识别中的实际应用，对图像处理中几种典型的小波基的选择进行了比较分析。
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