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首页> 外文期刊>Journal of marine science and technology >A feature-matching method for side-scan sonar images based on nonlinear scale space
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A feature-matching method for side-scan sonar images based on nonlinear scale space

机译:基于非线性尺度空间的侧扫声纳图像特征匹配方法

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摘要

We report a novel feature-matching method for side-scan sonar images. The method uses nonlinear diffusion filtering to build a nonlinear scale space. The noise-reduction performance is enhanced via nonlinear diffusion filtering, and the improved Perona-Malik diffusion equation results in a more distinct edge and line texture in the side-scan sonar image. The modified feature descriptor reduces the dimensionality of the feature vector so that the computational expense is reduced. Experimental results show that the method provides improved noise-reduction performance and better accuracy than SIFT, SURF, and other state-of-the-art feature-matching algorithms.
机译:我们报告了一种新型的侧面扫描声纳图像特征匹配方法。该方法使用非线性扩散滤波来建立非线性尺度空间。通过非线性扩散滤波增强了降噪性能,改进的Perona-Malik扩散方程使侧面扫描声纳图像中的边缘和线条纹理更加鲜明。修改后的特征描述符降低了特征向量的维数,从而降低了计算费用。实验结果表明,与SIFT,SURF和其他最新的特征匹配算法相比,该方法提供了改进的降噪性能和更好的准确性。

著录项

  • 来源
    《Journal of marine science and technology》 |2016年第1期|38-47|共10页
  • 作者单位

    College of Automation, Harbin Engineering University, Harbin 150001, Heilongjiang, People's Republic of China;

    College of Automation, Harbin Engineering University, Harbin 150001, Heilongjiang, People's Republic of China;

    College of Automation, Harbin Engineering University, Harbin 150001, Heilongjiang, People's Republic of China;

    College of Automation, Harbin Engineering University, Harbin 150001, Heilongjiang, People's Republic of China;

    College of Automation, Harbin Engineering University, Harbin 150001, Heilongjiang, People's Republic of China,Faculty of Engineering, Kagawa University, Hayashichou, Kagawa 2217-20, Japan;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Feature matching; Side-scan sonar image; Nonlinear scale spaces;

    机译:特征匹配;侧面扫描声纳图像;非线性尺度空间;

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