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基于前视声纳的成像与多目标特征提取
引用本文:吴丽媛,徐国华,余琨. 基于前视声纳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
作者姓名:吴丽媛  徐国华  余琨
作者单位:华中科技大学 船舶与海洋工程学院,武汉 430074
摘    要:针对水下目标图像的几何特性,提出了一种基于弦中点的改进Hough变换椭圆检测方法,实现了水下多目标的特征提取。单波束机械扫描前视声纳的图像数据为二维极坐标形式,采用波束内插方法和坐标变换方法生成图像,并对其进行图像预处理和轮廓跟踪,据此再进行多目标特征提取。通过水池实验结果表明,该方法对于水下多目标的特征描述更简明准确,为多目标识别与定位提供了有用信息。

关 键 词:前视声纳  Hough变换  椭圆检测  多目标特征提取  图像预处理  轮廓跟踪  

Image building and multi-objective features extraction based on forward-looking sonar
WU Liyuan , XU Guohua , YU Kun. Image building and multi-objective features extraction based on forward-looking sonar[J]. Computer Engineering and Applications, 2013, 49(2): 222-225
Authors:WU Liyuan    XU Guohua    YU Kun
Affiliation:School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Abstract:An advanced chord midpoint Hough transform ellipse detection method is proposed for geometric characteristics of underwater objective to extract feature of multi-objective.Using beam interpolating method and coordinate transform method for image data in two-dimension polar form received by sonar to generate image,it makes pre-processing and contour tracking,and extracts feature of multi-objective.The experimental results show that the method works well for multi-objective feature extraction,and provides useful information for multi-objective recognition and positioning.
Keywords:forward-looking sonar  Hough transform  ellipse detection  multi-objective feature extraction  image pre-processing  contour tracking
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