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.
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。
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.
应用推荐