Image Feature Extraction and Analysis Based on Empirical Mode Decomposition

被引：0

作者：

Huang, Shiqi ^{[1
]}

Zhang, Yucheng ^{[1
]}

Liu, Zhe ^{[1
]}

机构：

[1] Xijing Univ, Sch Informat Engn, Xian, Peoples R China

来源：

PROCEEDINGS OF 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IMCEC 2016) | 2016年

关键词：

empirical mode decomposition; image feature; extraction; analysis; intrinsic mode function;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This Empirical mode decomposition (EMD) is a kind of multi-scale transformation theory which is suitable for nonlinear and non-stationary signal processing. It is not necessary to select the basis function in advance, and can adaptively adjust according to the characteristics of the signal itself. Extracting the intrinsic mode function (IMF) is an important process for the applications for empirical mode decomposition in one or two-dimensional image processing. The choice of decomposition scale and the extraction and selection of the intrinsic mode function are the principal and basic content for the right application and understanding. Aiming at these problems, this paper has discussed and studied them in depth, and some actual images are used to verify the feature extraction method, and the corresponding conclusions are obtained from the experimental results.

引用

页码：615 / 619

页数：5

共 50 条

[1] Image Feature Extraction based on the two-dimensional Empirical Mode Decomposition
Wan Jian
Ren Longtao
Zhao Chunhui
CISP 2008: FIRST INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOL 1, PROCEEDINGS, 2008, : 627 - 631
[2] A NOVEL FACIAL FEATURE EXTRACTION METHOD BASED ON EMPIRICAL MODE DECOMPOSITION
Zhang, Dan
Zhou, Hua-Ying
Xue, Yun
PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOLS 1-4, 2013, : 1850 - 1855
[3] Process Control Operator EEG Feature Extraction based on Empirical Mode Decomposition and Spectral Analysis
Wang, Raofen
Wang, Xingyu
2013 SIXTH INTERNATIONAL CONFERENCE ON BUSINESS INTELLIGENCE AND FINANCIAL ENGINEERING (BIFE), 2014, : 534 - 538
[4] Bidimensional Empirical Mode Decomposition for SAR Image Feature Extraction With Application to Target Recognition
Chang, Ming
You, Xuqun
Cao, Zhengyang
IEEE ACCESS, 2019, 7 : 135720 - 135731
[5] Track Irregularity Feature Extraction Based on the Improved Ensemble Empirical Mode Decomposition
Zhao, Ling
Huang, Darong
Ding, Jing
Mi, Bo
Liu, Yang
2018 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-CHONGQING 2018), 2018, : 807 - 812
[6] Empirical Mode Decomposition-Based Feature Extraction for Environmental Sound Classification
Ahmed, Ammar
Serrestou, Youssef
Raoof, Kosai
Diouris, Jean-Francois
SENSORS, 2022, 22 (20)
[7] Fault Feature Extraction for Gearboxes Using Empirical Mode Decomposition
Dou, Chunhong
MANUFACTURING SCIENCE AND TECHNOLOGY, PTS 1-8, 2012, 383-390 : 1376 - 1380
[8] Feature Extraction Method of Transformer Vibration Based on Ensemble Empirical Mode Decomposition Subband
Zhao, Hongshan
Xu, Fanhao
Xu, Wenqi
Zhang, Wenmin
2016 IEEE INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2016,
[9] Empirical mode decomposition and local binary pattern based feature extraction for face recognition
Shoba, V. Betcy Thanga
Sam, I. Shatheesh
IMAGING SCIENCE JOURNAL, 2024, 72 (06): : 791 - 807
[10] Feature Extraction of Early AE Signal Based on the Lifting Wavelet and Empirical Mode Decomposition
Li, Xuejun
Deng, Zongqun
Jiang, Lingli
He, Kuanfang
MECHATRONICS AND INFORMATION TECHNOLOGY, PTS 1 AND 2, 2012, 2-3 : 193 - 199

← 1 2 3 4 5 →