| 杨海东,孙正凯.利用空间填充曲线和灰度分布估计的声图分割[J].声学技术,2019,38(6):691~697 |
| 利用空间填充曲线和灰度分布估计的声图分割 |
| Research on sonar image segmentation by spatial filling curve and grayscale distribution estimation |
| 投稿时间：2018-08-12 修订日期：2019-03-02 |
| DOI：10.16300/j.cnki.1000-3630.2019.06.016 |
| 中文关键词: 声图目标分割 空间填充曲线 灰度分布估计 |
| 英文关键词: sonar image object segmentation space filling curve grayscale distribution estimation |
| 基金项目:江西省教育厅2017年度科学技术基金重点项目（GJJ171041） |
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| 中文摘要: |
| 针对声图中的目标分割问题，提出了一种利用空间填充曲线和灰度分布估计的声图目标分割方法。该方法首先利用空间填充曲线将声图由二维矩阵变换为一维向量；其次在一维空间下进行滤波、灰度分布估计、阈值计算、分割处理；最后将分割后的一维向量逆变换为二维矩阵，得到目标分割结果。实际的声图处理验证了方法的有效性。 |
| 英文摘要: |
| Aiming at the problem of target segmentation in sonar images, a method based on space filling curve and grayscale distribution estimation is proposed and named as SFC-GDE Method. In this method, the space filling curve is firstly used to transform sonar image from two-dimension matrix to one-dimension vector, and then, the entire sonar image processing process, including filtering, grayscale distribution estimation, threshold calculation and image segmentation, are carried out in one dimensional space. Finally, the segmented one-dimensional vector is transformed into a two-dimensional matrix by inverse transformation to achieve target segmentation. Actual sonar image has been processed to verify the effectiveness of the proposed method. |
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