基于分区自适应阈值的声呐障碍物检测算法研究
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徐从营(1987-),男,博士,高级工程师,主要从事计算机视觉、图像处理技术研究。

中图分类号:

TP391


Research on Obstacle Detection Algorithm of Sonar Based on Partition Adaptive Threshold
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    摘要:

    针对UUV避碰声呐探测障碍物过程中自主选择分割阈值进行障碍物检测的问题,提出了基于分区自适应阈值的障碍物检测算法。首先将避碰声呐图像均匀分为相同大小的图像块,对每个图像块基于最大类间方差算法确定该区域障碍物图像分割的高低阈值,然后对检测到的障碍物进行形态学处理去除孤立噪声点,对目标区域进行连通性分析及内部空洞处理,最终得到完整的障碍物轮廓信息。通过湖试数据验证表明了该方法对声呐障碍物检测的有效性。

    Abstract:

    An algorithm of obstacle detection based on partition adaptive threshold is proposed to solve the problem of UUVobstacle-avoidance sonar autonomously selecting segmentation threshold to detect obstacles. Firstly, the obstacle avoidance sonar im-age is evenly divided into image blocks with the same size, and the high and low thresholds values of obstacle image segmentation inthis area is determined based on Otsu for each image block. Then, the isolated noise points of detected obstacle are removed throughmorphological operation, and the connectivity analysis and hole treatment of the target area are carried out. Finally , the complete ob-stacle profile information is obtained. The data of lake trial has validated the effectiveness of this method for obstacle detection of sO-nar.

    参考文献
    [1] LIN F Y.Research on obstacle recognition for UUVbased on multi-beam forward looking sonar[J].Jour-nal of Electrical Engineering,2013,11(5):2657-2663.
    [2] 严浙平,迟冬南,赵智,等.支持向量聚类的UUV障碍物孤立点惰性检测[J].哈尔滨工程大学学报,2012,33(11):1377-1383.
    [3] ZHANG T D,WAN L,PANG Y J,et al.Object de-tection and tracking method of AUV based on acousticvision[J].China Ocean Engineering,2012,26(4):623-636.
    [4] KARABCHEVSKY S,BRAGINSKY B,GUTER-MAN H.AUV real time acoustic vertical plane obsta-cle detection and avoidance[ C]//Conference:Auton-omousUnderwater Vehicle(AUV).Southampton:EEE/OES,2012.
    [5] 徐健,朱慧龙,陈涛,等.受人观测启发的UUV前视声呐滤波方法[J].仪器仪表学报,2016,39(5):1094-1100.
    [6] MEI F,YUE G X,YU Q C.The study on an applica-tion of Otsu method in Canny operator[ C]//Proceed-ings of the 2009 International Symposium on Informa-tion Processing.Huangshan:ISIP,2009.
    [7] 吴丽媛,徐国华,余琨.基于前视声呐的成像与多目标特征提取[J].计算机工程与应用,2013,49(2):222-225.
    [8] LI Y W,LI M,GONG Z B,et al.Underwater objectdetection and localization based on multi-beam sonarimage processing[ С]//Proceeding of the IEEE Inter-national ConferenceonRoboticsand Biomimetics.Guangzhou:South China University of Technology,2012.
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徐从营,裴承艳.基于分区自适应阈值的声呐障碍物检测算法研究[J].数字海洋与水下攻防,2018,1(2):1-5

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  • 在线发布日期: 2021-03-17
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