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作 者:崔杰[1,2] 胡长青 徐海东[1] Cui Jie;Hu Changqing;Xu Haidong(Shanghai Acoustics Laboratory, Chinese Academy of Sciences, Shanghai 201815, China;University of Chinese Academy of Sciences, Beijing 100190, China)
机构地区:[1]中国科学院声学研究所东海研究站,上海201815 [2]中国科学院大学,北京100190
出 处:《仪器仪表学报》2018年第2期169-176,共8页Chinese Journal of Scientific Instrument
摘 要:针对多波束前视声呐图像中运动目标的检测问题,提出一种背景消除算法。该算法以声呐波束数据为处理对象,借鉴光学视频处理中的三帧差分法,从三帧声呐数据中得到运动目标的二值图像。分析了多波束前视声呐数据的结构和成像原理,对比了传统声呐图像处理以显控截图为处理对象和本文以声呐波束数据为处理对象的优缺点,同时也根据声呐图像的特点对三帧差分法进行了改进。实验结果表明,该算法能有效地将运动目标从背景中分离,并且以声呐波束数据为处理对象比以显控截图为处理对象效果好且实时性高,同时改进后的三帧差分法也对算法效果有提升。因此该算法可作为运动目标跟踪、检测和识别的基础,具有应用于水下监控工作的潜力。Aiming at the detection problem of moving target in multi-beam forward-looking sonar image,a background elimination algorithm is proposed. This algorithm takes sonar beam data as the processing object,uses the three-frame-difference method in optical video processing to obtain the moving target binary image from the three frame sonar data. This paper analyzes the structure and imaging principle of the multi-beam forward-looking sonar data,compares the advantages and disadvantages of traditional sonar image processing method that takes the screenshot as the processing object and the proposed method that takes the sonar beam data as the processing object,and improves the three-frame-difference method according to the characteristics of forward-looking sonar image. The experiment results show that the proposed algorithm can effectively separate the moving target from background,taking the sonar beam data as the processing object can obtain a better effect than taking the screenshot as the processing object; the algorithm has good real-time performance and the improved three-frame-difference method can enhance the effect of the algorithm. Therefore,the algorithm can be used as the basis of the moving target tracking,detection and recognition,also has the potential capability to be applied in underwater monitoring work.
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