[1]葛光涛,桑恩方,刘卓夫,等.基于BEMD的水下声影区地貌及纹理特征提取[J].郑州大学学报(工学版),2007,28(04):70-74.[doi:10.3969/j.issn.1671-6833.2007.04.018]
 Ge Guangtao,Sang Enfang,LIU Zhuofu,et al.Extraction of geomorphological and texture features of underwater acoustic shadow area based on BEMD[J].Journal of Zhengzhou University (Engineering Science),2007,28(04):70-74.[doi:10.3969/j.issn.1671-6833.2007.04.018]
点击复制

基于BEMD的水下声影区地貌及纹理特征提取()
分享到:

《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
28
期数:
2007年04期
页码:
70-74
栏目:
出版日期:
1900-01-01

文章信息/Info

Title:
Extraction of geomorphological and texture features of underwater acoustic shadow area based on BEMD
作者:
葛光涛桑恩方刘卓夫等.
哈尔滨工程大学,水声工程学院,黑龙江,哈尔滨150001, 哈尔滨工程大学,水声工程学院,黑龙江,哈尔滨150001, 哈尔滨工程大学,水声工程学院,黑龙江,哈尔滨150001, 哈尔滨工程大学,水声工程学院,黑龙江,哈尔滨150001
Author(s):
Ge Guangtao; Sang Enfang; LIU Zhuofu; etc
关键词:
声影区 特征提取 边缘检测 二维经验模态分解
Keywords:
Sound and shadow area feature extraction edge detection Two-dimensional empirical modal decomposition
DOI:
10.3969/j.issn.1671-6833.2007.04.018
文献标志码:
A
摘要:
提出了一种基于二维经验模态分解(The Bidimensional Empirical Mode Decomposition,BEMD)的水声图像声影区地貌及纹理特征提取方法.为了解决声影区的存在对水声图像特征提取的干扰问题,先对水声图像进行二维模态分解,采用Canny边缘检测器对其中的模态1或几个模态的叠加进行特征提取.实验结果表明,该方法增强了声影区内目标的特征信息,弱化了声影区的阴影边缘,是一种实用的水声图像特征提取新方法.
Abstract:
A method for extracting geomorphological and texture features of hydroacoustic images based on The Bidimensional Empirical Mode Decomposition (BEMD) is proposed. In order to solve the problem of interference from the presence of acoustic shadow area on the feature extraction of underwater acoustic images, the two-dimensional modal decomposition of the underwater acoustic images is carried out first, and the Canny edge detector is used to extract the features of mode 1 or the superposition of several modes. Experimental results show that this method enhances the feature information of targets in the acoustic shadow area and weakens the shadow edge in the acoustic shadow area, which is a practical new method for feature extraction of underwater acoustic images.

相似文献/References:

[1]师黎,王丽佳..小波变换在心电信号处理及特征提取中的应用[J].郑州大学学报(工学版),2006,27(02):65.[doi:10.3969/j.issn.1671-6833.2006.02.016]
 Shi Li,Wang Lijia.Application of wavelet transform in ECG signal processing and feature extraction[J].Journal of Zhengzhou University (Engineering Science),2006,27(04):65.[doi:10.3969/j.issn.1671-6833.2006.02.016]
[2]徐旭华,刘凯,杨开明,等.数字化采集数据的模型特征提取[J].郑州大学学报(工学版),1999,20(02):70.[doi:10.3969/j.issn.1671-6833.1999.02.023]
 Xu Xuhua,LIU Kai,Yang Kaiming,et al.Model feature extraction for digitally collected data[J].Journal of Zhengzhou University (Engineering Science),1999,20(04):70.[doi:10.3969/j.issn.1671-6833.1999.02.023]
[3]李志新,商樊淇,郇 战,等.基于混合特征图卷积神经网络的人体行为识别方法[J].郑州大学学报(工学版),2024,45(04):46.[doi:10.13705/ j.issn.1671-6833.2024.04.002]
 LI Zhixin,SHANG Fanqi,HUAN Zhan,et al.Human Activity Recognition Based on Hybrid Feature Graph Convolutional Neural Network[J].Journal of Zhengzhou University (Engineering Science),2024,45(04):46.[doi:10.13705/ j.issn.1671-6833.2024.04.002]
[4]余松森,龙嘉濠,周 诺,等.基于相机运动轨迹的鲁棒无人机航拍稳像算法[J].郑州大学学报(工学版),2024,45(05):77.[doi:10.13705/j.issn.1671-6833.2024.02.004]
 YU Songsen,LONG Jiahao,ZHOU Nuo,et al.Robust Algorithm for Aerial Video Stabilization of UAV Based onCamera Motion Trajectory[J].Journal of Zhengzhou University (Engineering Science),2024,45(04):77.[doi:10.13705/j.issn.1671-6833.2024.02.004]

更新日期/Last Update: 1900-01-01