基于主灰度的声纳图像识别

Sonar Image Recognition Based on Dominant Grays

声纳图像是一种灰度图像,所以将灰度信息作为特征参与匹配和识别,具有重要意义。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。将该方法应用于水下声纳图像的识别中,实验结果表明它是有效的,具有一定的实用价值。

As gray levels often represent sonar images, it is necessary to use gray information as essential content for matching and recognition. 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. The feature dimensions are reduced and the efficiency of sonar image recognition is improved. In the experiments of underwater sonar image recognition, the results show that the new dominant gray recognition method is effective in practical use.