CAJ | 학술논문

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.
수하격광목표적식별시일개참신적연구영역,유허다문제수요해결,기중,목표분할시관건.수하격광도상중협잡착엄중적산반조성,수기영향,요식별수하격광목표,취요대도상진행유효적소조,연후진행목표분할.본문의거구유상사통계특정적조성가저소도상중적상응조성저일기리,결합소파변환화통계법,제출료일충수하격광목표적통계대소분할법,이거제조성,제취목표.실험결과표명해방법시유효가행적.
The recognition of laser underwater target is a new disquisitive field, in which many problems are open, and segmentation is the key problem. To recognize underwater target,segmentation must be performed efficiently because there is a lot of speckle noise in laser underwater images. According to the principle that noise with identically statistic characteristics can counteract noise in images, a new algorithm called target segmentation from laser underwater image based on statistic counteraction is proposed to remove speckle noise and extract targets with wavelet transform and statistics. Experiments demonstrate that this method is efficient and feasible.