图像处理方法用于声压敏感核声图的目标定位
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摘要
利用目标前向散射的扰动声线法适用于在浅水信道对目标进行定位,但所得到的声压敏感核声图的交汇效果易受水底地形不匹配的影响,提出了一种基于图像处理的目标定位方法。首先利用多次的单阈值Otsu方法对多阈值Otsu方法进行改进,确定备选区域;然后从备选区域中选择扰动声线穿过最多的区域并计算重心。仿真结果表明该定位方法不但能够正确定位目标,减小人工判断声图的工作量,而且同样适用于声压敏感核声图交汇效果较差的情况,能够辅助人工判断来减少误判。
Perturbed eigenrays method using target forward scatting is suitable for target localization in shallow water waveguide.However,on the sonogram,the intersection of pressure sensitivity kernels is easily affected by bottom model mismatch.To solve this problem,this paper proposes a method of target localization based on sonogram processing.Instead of multi-threshold Otsu method,this work determines alternative areas by applying single threshold Otsu method repeatedly,and then computes the gravity center of the area with most perturbed eigenrays.Simulation results suggest that this method can not only locate targets precisely and reduce manual workload when the sonar image is clear,but also help make decisions when the intersection of perturbed eigenrays is complicated.
Perturbed eigenrays method using target forward scatting is suitable for target localization in shallow water waveguide.However,on the sonogram,the intersection of pressure sensitivity kernels is easily affected by bottom model mismatch.To solve this problem,this paper proposes a method of target localization based on sonogram processing.Instead of multi-threshold Otsu method,this work determines alternative areas by applying single threshold Otsu method repeatedly,and then computes the gravity center of the area with most perturbed eigenrays.Simulation results suggest that this method can not only locate targets precisely and reduce manual workload when the sonar image is clear,but also help make decisions when the intersection of perturbed eigenrays is complicated.
引文
[1]SONG H,KUPERMAN W A,HODGKISS W S,et al.Demonstration of a high-frequency acoustic barrier with a time-reversal mirror[J].Oceanic Engineering,IEEE Journal of 2003,28:246-249.
[2]FOLEGOT T,MARTINELLI G,GUERRINI P,et al.An active acoustic tripwire for simultaneous detection and localization of multiple underwater intruders[J].J.Acoust.Soc.Am.,2008,124(5):2852-2860.
[3]MARANDET C,ROUX P,NICOLAS B,et al.Target detection and localization in shallow water:an experimental demonstration of the acoustic barrier problem at the laboratory scale[J].J.Acoust.Soc.Am.,2011,129(1):85-97.
[4]温凤丹,林巨.浅海环境下的声学灵敏度核函数研究[J].南京大学学报(自然科学版),2017,53(1):135-143.WEN Fengdan,LIN Ju.The study of sensitivity kernels in shallow water environments[J].Journal of Nanjing University(Natural Sciences),2017,53(1):135-143.
[5]OTSU N.A threshold selection method from gray-level histograms[J].IEEE Transactions on Systems,Man,and Cybernetics,1979,9(1):62-66.
[6]申铉京,刘翔,陈海鹏.基于多阈值Otsu准则的阈值分割快速计算[J].电子与信息学报,2017,39(1):144-149.SHEN Xuanjing,LIU Xiang,CHEN Haipeng.Fast computation of threshold based on multi-threshold Otsu criterion[J].Journal of Electronics&Information Technology,2017,39(1):144-149.
[7]吴鹏.萤火虫算法优化最大熵的图像分割方法[J].计算机工程与应用,2014,50(12):115-119.WU Peng.Image segmentation method based on firefly algorithm and maximum entropy method[J].Computer Engineering and Applications,2014,50(12):115-119.
[8]董本志,蔡文宇,景维鹏.自然场景图像中叶片区域快速多阈值提取方法[J].计算机工程与应用,2017,53(22):198-203.DONG Benzhi,CAI Wenyu,JING Weipeng.Fast multi-threshold extraction method of leaf region in natural scene image[J].Computer Engineering and Applications,2017,53(22):198-203.
[9]王祥科,郑志强.Otsu多阈值快速分割算法及其在彩色图像中的应用[J].计算机应用,2006,26(z1):14-15.WANG Xiangke,ZHENG Zhiqiang.Fast Otsu multi-threshold segmentation algorithm and its application in color image[J].Computer Applications,2006,26(z1):14-15.
[10]王磊,段会川.Otsu方法在多阈值图像分割中的应用[J].计算机工程与设计,2008,29(11):2844-2845.WANG Lei,DUAN Huichuan.Application of Otsu'method in multi-threshold image segmentation[J].Computer Engineering and Design,2008,29(11):2844-2845.
[11]刘立,焦斌亮,刘钦龙.Otsu多阈值算法推广实现[J].测绘科学,2009,34(6):240-241.LIU Li,JIAO Binliang,LIU Qinlong.Promotion and realization of Otsu multi-threshold segmentation method[J].Science of Surveying and Mapping,2009,34(6):240-241.
[12]刘艳,赵英良.Otsu多阈值快速求解算法[J].计算机应用,2011,31(12):3363-3365.LIU Yan,ZHAO Yingliang.Quick approach of multi-threshold Otsu method for image segmentation[J].Journal of Computer Applications,2011,31(12):3363-3365.
[13]朱玲羚.基于Otsu法的声呐图像多阈值分割方法[J].水雷战与舰船防护,2016,24(4):68-71.ZHU Lingling.Multi-threshold segmentation method of sonar image based on Otsu method[J].Mine Warfare&Ship Self-defence,2016,24(4):68-71.
[2]FOLEGOT T,MARTINELLI G,GUERRINI P,et al.An active acoustic tripwire for simultaneous detection and localization of multiple underwater intruders[J].J.Acoust.Soc.Am.,2008,124(5):2852-2860.
[3]MARANDET C,ROUX P,NICOLAS B,et al.Target detection and localization in shallow water:an experimental demonstration of the acoustic barrier problem at the laboratory scale[J].J.Acoust.Soc.Am.,2011,129(1):85-97.
[4]温凤丹,林巨.浅海环境下的声学灵敏度核函数研究[J].南京大学学报(自然科学版),2017,53(1):135-143.WEN Fengdan,LIN Ju.The study of sensitivity kernels in shallow water environments[J].Journal of Nanjing University(Natural Sciences),2017,53(1):135-143.
[5]OTSU N.A threshold selection method from gray-level histograms[J].IEEE Transactions on Systems,Man,and Cybernetics,1979,9(1):62-66.
[6]申铉京,刘翔,陈海鹏.基于多阈值Otsu准则的阈值分割快速计算[J].电子与信息学报,2017,39(1):144-149.SHEN Xuanjing,LIU Xiang,CHEN Haipeng.Fast computation of threshold based on multi-threshold Otsu criterion[J].Journal of Electronics&Information Technology,2017,39(1):144-149.
[7]吴鹏.萤火虫算法优化最大熵的图像分割方法[J].计算机工程与应用,2014,50(12):115-119.WU Peng.Image segmentation method based on firefly algorithm and maximum entropy method[J].Computer Engineering and Applications,2014,50(12):115-119.
[8]董本志,蔡文宇,景维鹏.自然场景图像中叶片区域快速多阈值提取方法[J].计算机工程与应用,2017,53(22):198-203.DONG Benzhi,CAI Wenyu,JING Weipeng.Fast multi-threshold extraction method of leaf region in natural scene image[J].Computer Engineering and Applications,2017,53(22):198-203.
[9]王祥科,郑志强.Otsu多阈值快速分割算法及其在彩色图像中的应用[J].计算机应用,2006,26(z1):14-15.WANG Xiangke,ZHENG Zhiqiang.Fast Otsu multi-threshold segmentation algorithm and its application in color image[J].Computer Applications,2006,26(z1):14-15.
[10]王磊,段会川.Otsu方法在多阈值图像分割中的应用[J].计算机工程与设计,2008,29(11):2844-2845.WANG Lei,DUAN Huichuan.Application of Otsu'method in multi-threshold image segmentation[J].Computer Engineering and Design,2008,29(11):2844-2845.
[11]刘立,焦斌亮,刘钦龙.Otsu多阈值算法推广实现[J].测绘科学,2009,34(6):240-241.LIU Li,JIAO Binliang,LIU Qinlong.Promotion and realization of Otsu multi-threshold segmentation method[J].Science of Surveying and Mapping,2009,34(6):240-241.
[12]刘艳,赵英良.Otsu多阈值快速求解算法[J].计算机应用,2011,31(12):3363-3365.LIU Yan,ZHAO Yingliang.Quick approach of multi-threshold Otsu method for image segmentation[J].Journal of Computer Applications,2011,31(12):3363-3365.
[13]朱玲羚.基于Otsu法的声呐图像多阈值分割方法[J].水雷战与舰船防护,2016,24(4):68-71.ZHU Lingling.Multi-threshold segmentation method of sonar image based on Otsu method[J].Mine Warfare&Ship Self-defence,2016,24(4):68-71.