舰船科学技术2024,Vol.46Issue(24) :104-108.DOI:10.3404/j.issn.1672-7649.2024.24.018

图形处理算法在侧扫声呐图像处理上的应用

The application of image processing algorithm in side scan sonar image processing

陈淇玮
舰船科学技术2024,Vol.46Issue(24) :104-108.DOI:10.3404/j.issn.1672-7649.2024.24.018

图形处理算法在侧扫声呐图像处理上的应用

The application of image processing algorithm in side scan sonar image processing

陈淇玮1
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作者信息

  • 1. 交通运输部南海救助局,广东 广州 511477
  • 折叠

摘要

侧扫声呐在水下搜寻作业的过程中会受到环境、噪声以及机器本身等诸多不确定的因素干扰,声呐生成的图像会受到较大的影响,从而干扰探查人员对水下目标的判断.本文利用Opencv计算机视觉算法工具,使用Python建立Clahe、平滑中值卷积、形态学算法以及拉普拉斯变换等的图形处理模型,利用实际数据为样本进行实验.实验结果表明,Clahe算法最适用于去噪降噪以及消除横向条纹的场景,平滑中值卷积适用于降噪且保留原特征,形态学运算适合单一特征提取,拉普拉斯变换在底部环境声波反射较强情况下的特征物提取能力最优.

Abstract

Side scan sonar is often disturbed by many uncertain factors such as environment,noise and equipment in-stability factors in the process of underwater operation.The image generated by sonar will be greatly affected,thus interfer-ing with the exploration personnel's judgment of underwater targets.In this paper,the Opencv visual algorithm tool is used to establish the graphics processing models of Clahe,smooth median convolution,morphological algorithm and Laplace trans-form by using Python.The data from actual operations are used as samples for experiments.The experimental results show that the Clahe algorithm is most suitable for denoising and eliminating transverse stripe.The smooth median convolution can denoise and retain the original features.The morphological operation can be used in the extraction of single feature.The Laplacian transform has the best feature extraction ability in the case of strong reflection in the bottom section.

关键词

声呐图像/图形优化/算法模型

Key words

sonar image/image optimization/algorithmic model

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出版年

2024
舰船科学技术
中国舰船研究院,中国船舶信息中心

舰船科学技术

CSTPCD北大核心
影响因子:0.373
ISSN:1672-7649
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