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水下激光目标的识别是一个崭新的研究领域,有许多问题需要解决,其中,目标分割是关键.水下激光图像中夹杂着严重的散斑噪声,受其影响,要识别水下激光目标,就要对图像进行有效的消噪,然后进行目标分割.本文依据具有相似统计特征的噪声可抵消图像中的相应噪声这一基理,结合小波变换和统计法,提出了一种水下激光目标的统计对消分割法,以去除噪声,提取目标.实验结果表明该方法是有效可行的.
Underwater laser target recognition is a new research field, there are many problems to be solved, of which the target segmentation is the key underwater laser images mixed with severe speckle noise, affected by it, to identify the underwater laser target, It is necessary to denoise the image effectively and then carry out target segmentation.This paper proposes a underwater laser target based on the principle that noise with similar statistical characteristics can cancel the corresponding noise in the image, The statistical segmentation method to eliminate noise to extract the target.The experimental results show that the method is effective and feasible.