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1)  sonar image enhancement
声纳图像增强
2)  sonar image
声纳图像
1.
Image denoising method of sonar image based on Curvelet transform;
基于Curvelet变换水下声纳图像去噪研究
2.
New sonar image denoising method based on circular sampling FRIT;
基于FRIT循环抽样声纳图像去噪新方法
3.
Object Recognizing on Sonar Image Based on Histogram and Geometric Feature;
基于灰度直方图和几何特征的声纳图像目标识别
3)  image sonar
图像声纳
1.
This paper introduces a visual method of the high resolution image sonar on ROV.
介绍了一种灭雷具上高分辨率图像声纳对目标成像显示的计算机可视化仿真方法。
2.
With image sonar as the environment-detecting system, local path planning for AUV(Autonomous Underwater Vehicle) is made in this paper.
以前视图像声纳作为环境感知系统 ,进行了智能水下机器人的局部路径规划 。
3.
Based on image sonar and differential GPS positioning technique,the method has the quality of large effective searching area in unit time and high precision.
针对海上沉船、空难等事故水下残骸搜索工作难的问题,提出一种基于图像声纳和差分GPS的水下残骸搜索和精确定位的方法,该方法单位时间内有效扫描面积较大,定位精度高,实用性强。
4)  imaging sonar
图像声纳
1.
Application of band-pass sampling technology in high resolution imaging sonar;
带通采样在高分辨率图像声纳中的应用
2.
The multi channel data acquisition and signal processing system in the novel digital imaging sonar are studied.
对新型数字图像声纳系统中的高速多通道数据采集与信号处理部分的硬件设计和工作原理进行了论述。
3.
Compared with common sonar system, more details from shape outlines of underwater targets are obtainable for imaging sonar with higher resolution rate.
图像声纳与普通声纳相比,具有更高的分辨率,从而可以提供更多的水下目标外形轮廓的细节特征。
5)  image enhancement
图像增强
1.
X-ray medical image enhancement and histogram processing methods based on Matlab;
基于Matlab的X线医学图像增强与直方图处理方法
2.
Medical image enhancement based on neural dynamics;
基于神经动力学的医学图像增强技术
3.
A new image enhancement method for retinal vascular images based on morphology and matched filters;
基于数学形态学和匹配滤波的视网膜血管图像增强方法
6)  image enhancing
图像增强
1.
An image enhancing method based on mathematical morphology;
基于数学形态学的图像增强方法
2.
Parallel Image Enhancing Research Based on PDE;
基于全变分模型的并行图像增强研究
3.
Image Enhancing and Extracting Core Point of Fingerprint;
指纹图像增强与中心点的提取
补充资料:图像增强

图像增强 image enhancement

将原来不清晰的图像变得清晰或强调某些感兴趣的特征,抑制不感兴趣的特征,使之改善图像质量、丰富信息量,加强图像判读和识别效果的图像处理方法。

说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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