| 易兵,蒋立军.基于声学图像的水下小目标三维形状恢复[J].,2025,44(2):454-462 |
| 基于声学图像的水下小目标三维形状恢复 |
| Three-dimensional shape restoration of small underwater targets based on acoustic images |
| 投稿时间：2023-10-13 修订日期：2025-02-21 |
| 中文摘要: |
| 基于二维声呐图像的三维场景恢复在水下救援等应用场景中具有重要意义。由于单一的三维重构算法难以同时实现图像细节信息的恢复与背景噪声的抑制，使得目标恢复精度较低。针对这一问题，提出了一种数据融合的三维重构方法。该方法首先利用C均值模糊聚类算法提取图像的目标区域与背景区域，然后针对目标区域采用细节恢复较好的三维重构算法，背景区域选取噪声抑制能力较强的恢复算法，并将二者恢复结果进行融合，从而得到图像细节信息的恢复较好及抑制背景噪声的较强的重构结果，提升三维恢复结果的精度。实验数据处理表明，该方法与传统方法相比，其重构结果的整体平均误差从24.3%下降至10%，说明该方法能更精准地重构声呐图像的三维形状。 |
| 英文摘要: |
| Three-dimensional scene restoration based on two-dimensional sonar images is of great significance in application scenarios such as underwater rescue. Because it is difficult for a single three-dimensional reconstruction algorithm to realize the recovery of image detail information and the suppression of background noise at the same time, the target recovery accuracy is low. In order to solve this problem, a three-dimensional reconstruction method based on data fusion was proposed. In this method, the C-means fuzzy clustering algorithm is used to extract the target area and the background area of the image, and then the three-dimensional reconstruction algorithm with better detail recovery is used for the target area, and the recovery algorithm with strong noise suppression ability is selected for the background area, and the recovery results of the two are fused, so as to obtain the better recovery of image detail information and the stronger reconstruction results of suppressing background noise, and improve the accuracy of the three-dimensional recovery results. Experimental data processing shows that compared with the traditional method, the overall average error of the reconstruction results of the proposed method decreases from 24.3% to 10%, indicating that the proposed method can reconstruct the three-dimensional shape of sonar images more accurately. |
| DOI：10.11684/j.issn.1000-310X.2025.02.020 |
| 中文关键词: 三维重构 图像分割 图像修复 数据融合 |
| 英文关键词: three-dimensional reconstruction image segmentation image repair data fusion |
| 基金项目:中国科学院青年促进会资助(2020023)；b)“海南省重大科技计划项目资助”，项目编号：ZDKJ2020010； |
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