CAJ | 학술논문

对于处于气泡等运动信息干扰情况下的水下视频图像，传统的增强手段不能达到令人满意的要求。本文提出了一种在水下视频图像中去除气泡场的方法。采用独立成分分析算法，将序列图像中的背景和运动目标进行分离处理，在灰度域上区分开气泡和其他运动目标并去除气泡，然后，在已经去除了气泡信号的图像中重新赋上其相邻序列的视频图像中相同位置但清晰的像素值，并使用光流法对实验结果进行了分析。结果证明，此方法能够成功的从水下图像中分离出气泡信号，达到了削弱、去除水下图像中气泡场的目的。
대우처우기포등운동신식간우정황하적수하시빈도상，전통적증강수단불능체도령인만의적요구。본문제출료일충재수하시빈도상중거제기포장적방법。채용독립성분분석산법，장서렬도상중적배경화운동목표진행분리처리，재회도역상구분개기포화기타운동목표병거제기포，연후，재이경거제료기포신호적도상중중신부상기상린서렬적시빈도상중상동위치단청석적상소치，병사용광류법대실험결과진행료분석。결과증명，차방법능구성공적종수하도상중분리출기포신호，체도료삭약、거제수하도상중기포장적목적。
A method to remove air bubbles in underwater video image is put forward. In bubble movement information of underwater video image,the traditional means of enhancement cannot achieve a satisfactory requirement,thus the im-proved independent component analysis algorithm is proposed in this paper to deal with it. The background and moving targets in image sequences are separated by the algorithm,and then the bubbles are separated from other moving tar-gets and the air bubbles are removed in the gray domain. In the paper,the principle and the operation process of inde-pendent component analysis are introduced,and the simulation analysis was carried out on the experimental images.The results prove that this method can successfully from isolated bubbles in underwater image signal. the purpose of weaken-ing the bubble field in underwater image is achieved by this method. Finally,using the optical flow method in the ex-perimental results are analyzed, the results show that the method of removing image air bubble field water under the proposed is feasible.