| 夏平,伍呈呈,刘小妹,雷帮军.声呐图像背景区域灰度统计特性分析与拟合[J].声学技术,2017,36(4):315~319 |
| 声呐图像背景区域灰度统计特性分析与拟合 |
| Analysis and fitting of gray statistical characteristics of sonar image background region |
| 投稿时间：2016-09-06 修订日期：2016-12-13 |
| DOI：10.16300/j.cnki.1000-3630.2017.04.004 |
| 中文关键词: 声呐图像 背景区域 灰度统计特性 威布尔分布 高斯分布 |
| 英文关键词: sonar image background gray statistics characteristics Weibull distribution Gauss distribution |
| 基金项目:国家自然科学基金（联合基金）重点项目（U1401252）；国家自然科学基金资助项目（61272237）；湖北省重点实验室开放基金项目（2015KLA05） |
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| 中文摘要: |
| 利用声呐进行水下目标定位识别是当前水下目标识别与跟踪的重要手段之一，由于声呐图像受噪声影响严重、分辨率低，对声呐图像的背景建模有助于其目标分割与识别。首先，分析声呐图像背景区域灰度的统计特性，结合其特点采用高斯分布、Gamma分布、威布尔分布、瑞利分布模型对6类不同背景区域声呐图像统计特性进行拟合，构建声呐图像背景区域模型。最后，采用χ2准则和Kolmogorov距离误差评价准则评估拟合效果。拟合结果表明，高斯分布、Gamma分布和威布尔分布均能较好地逼近声呐图像背景区灰度统计特性。为满足实时性的应用需求，选用高斯分布构建声呐图像背景灰度统计模型是可行、合理的方案，从而为声呐图像预处理和目标分割提供了背景模型建模的理论依据。 |
| 英文摘要: |
| Using sonar for underwater target recognition,distance measurement and direction finding is one of the important methods for current underwater target recognition and tracking.Sonar image is seriously influenced by noise and the resolution is low,background modeling for sonar image is helpful to the target segmentation and recognition. Therefore,the gray statistical characteristics of sonar image background region are analyzed,and then combined with the features of underwater sonar image,the Gaussian distribution,gamma distribution,Weibull distribution,and Rayleigh distribution models are used to fit the statistical characteristics of sonar images with six kinds of different background regions.The experimental results are evaluated by the χ2 criterion and Kolmogorov distance error evaluation criterion.The results of comparison show that the Gauss distribution,Gamma distribution and Weibull distribution could better approximate the gray statistical distribution of sonar image background region.In order to meet the requirements of real-time applications,the use of the Gauss distribution model as the description of background area gray statistical distribution is feasible and reasonable,this provides a theoretical basis for sonar image preprocessing and target segmentation. |
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