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Single-Phase Grounding Fault Types Identification Based on Multi-Feature Transformation and Fusion

Min Fan, Jialu Xia, Xinyu Meng, Ke Zhang
2022 Sensors  
Firstly, the HilbertHuang transform (HHT) was used to preprocess the fault recorded wave data to highlight the characteristics between different fault types.  ...  Therefore, this paper proposes a single-phase grounding fault type identification method based on the multi-feature transformation and fusion.  ...  Hilbert-Huang transform includes two processes: empirical mode decomposition (EMD) and Hilbert transformation.  ... 
doi:10.3390/s22093521 pmid:35591212 fatcat:3ukq4ilrsrfkbcdlwrexmvup7i

Digital Image Forgeries and Passive Image Authentication Techniques: A Survey

Saba Mushtaq, Ajaz Hussain Mir
2014 International Journal of Advanced Science and Technology  
Digital images are present everywhere on magazine covers, in newspapers, in courtrooms as evidences, and all over the Internet signifying one of the major ways for communication nowadays.  ...  The trustworthiness of digital images has been questioned, because of the ease with which these images can be manipulated in both its origin & content as a result of tremendous growth of digital image  ...  In [68] a method based on extraction of features by Hilbert-Huang transform (HHT) and a statistical model based on the moments of characteristic functions on application of wavelets to detect spliced  ... 
doi:10.14257/ijast.2014.73.02 fatcat:r3nprjpe6je4pkc72pytsnndmy

Run-Length and Edge Statistics Based Approach for Image Splicing Detection [chapter]

Jing Dong, Wei Wang, Tieniu Tan, Yun Q. Shi
2009 Lecture Notes in Computer Science  
Passive detection approaches of image splicing are usually regarded as pattern recognition problems based on features which are sensitive to splicing.  ...  In the proposed approach, we analyze the discontinuity of image pixel correlation and coherency caused by splicing in terms of image run-length representation and sharp image characteristics.  ...  image splicing detection evaluation dataset for our experiments.  ... 
doi:10.1007/978-3-642-04438-0_7 fatcat:qg7viq45gbhdpazln3kkjx4ss4

A natural image model approach to splicing detection

Yun Q. Shi, Chunhua Chen, Wen Chen
2007 Proceedings of the 9th workshop on Multimedia & security - MM&Sec '07  
The statistical features include moments of characteristic functions of wavelet subbands and Markov transition probabilities of difference 2-D arrays.  ...  In this paper, we propose a blind, passive, yet effective splicing detection approach based on a natural image model.  ...  arrays; 2) the combination of moments of characteristic functions based features and Markov process based features.  ... 
doi:10.1145/1288869.1288878 dblp:conf/mmsec/ShiCC07 fatcat:bh3phwkrgjemrpq7mupp5vnlp4

Image tampering detection using genetic algorithm

Ritu Agarwal, Mallika Pant, W. Anggono
2019 MATEC Web of Conferences  
The proposed work compares between various feature selection algorithms for the detection of image forgery in tampered images.  ...  Several features are extracted from normal and spliced images using spatial grey level dependence method and many more. Support vector machine and Twin SVM has been used for classification.  ...  A combination of Hilbert Huang Transform and wavelet decomposition [8] is proposed in which Hilbert Huang Transform is used to examine disturbance in linearity caused by image splicing and a statistical  ... 
doi:10.1051/matecconf/201927702026 fatcat:yazsjwf2wngwhgcdpcyrhqr77m

Digital image forgery detection using passive techniques: A survey

Gajanan K. Birajdar, Vijay H. Mankar
2013 Digital Investigation. The International Journal of Digital Forensics and Incident Response  
An attempt is made to survey the recent developments in the field of digital image forgery detection and complete bibliography is presented on blind methods for forgery detection.  ...  The present status of image forgery detection technique is discussed along with a recommendation for future research.  ...  Acknowledgment The authors would like to thank the anonymous reviewers for their valuable and insightful comments on the earlier version of this manuscript.  ... 
doi:10.1016/j.diin.2013.04.007 fatcat:pqlzh2yciveqxgw2pbwfnay7nq

A bibliography on blind methods for identifying image forgery

Babak Mahdian, Stanislav Saic
2010 Signal processing. Image communication  
In this paper, an extensive list of blind methods for detecting image forgery is presented. By the word blind we refer to those methods that use only the image function.  ...  Verifying the integrity of digital images and detecting the traces of tampering without using any protecting pre-extracted or pre-embedded information have become an important and hot research field.  ...  The proposed methods are based on Hilbert-Huang transform [38] , statistics of 2-D phase congruency [16] and a natural image model to classify spliced images from authentic images [122] .  ... 
doi:10.1016/j.image.2010.05.003 fatcat:qrp7b5eipfdkhpw7ljlpy6zp3m

Improving RLRN Image Splicing Detection with the Use of PCA and Kernel PCA

Zahra Moghaddasi, Hamid A. Jalab, Rafidah Md Noor, Saeed Aghabozorgi
2014 The Scientific World Journal  
This study focuses on improving one of the image splicing detection algorithms, that is, the run length run number algorithm (RLRN), by applying two dimension reduction methods, namely, principal component  ...  Digital image forgery is becoming easier to perform because of the rapid development of various manipulation tools. Image splicing is one of the most prevalent techniques.  ...  This research is supported by University of Malaya Research Grant (UMRG) RG312-14AFR.  ... 
doi:10.1155/2014/606570 pmid:25295304 pmcid:PMC4177829 fatcat:nhri62ux4zahvcddf22ljyw3ku

Splicing Image Forgery Detection and Localization Based on Color Edge Inconsistency using Statistical Dispersion Measures

2021 International Journal of Engineering  
In this paper, we proposed a blind image splicing detection method based on color distribution in the neighborhood of edge pixels. First, we extracted edge pixels using contourlet transform.  ...  The effectiveness of the method has been demonstrated by our experimental results obtained using the Columbia Image Splicing Detection Evaluation (CISED) dataset in terms of specificity and accuracy.  ...  Some image splicing detection methods based on Hilbert-Huang transform (HHT) and moments of characteristic functions (CF) with wavelet decomposition (IQMs) are introduced.  ... 
doi:10.5829/ije.2021.34.02b.16 fatcat:fjmyoqhbe5gvhmr3it6rl5az5i

Forensic Science Research Summary for Forgery Detection of Digital Images

2020 International Journal of Engineering and Advanced Technology  
Therefore, the main focus is on different types of forgery detection in digital image processing with the help of all transform techniques and comparing their best results for further improvement in order  ...  The goal of forgery detection is to maximize the extraction of information from manipulated images, particularly noisy and post-processed images.  ...  angular correlation 80% Fu et al. [48] (2006) Moments of characteristics function using wavelet decomposition and Hilbert-Huang transform 81% Kirchner et al. [56] (2010) Subtractive pixel adjacency matrix  ... 
doi:10.35940/ijeat.b2563.029320 fatcat:mwjziifk3ncerodbndirvbk5aq

Wavelet Analysis in Current Cancer Genome Research: A Survey

Tao Meng, Ahmed T. Soliman, Mei-Ling Shyu, Yimin Yang, Shu-Ching Chen, S.S. Iyengar, John S. Yordy, Puneeth Iyengar
2013 IEEE/ACM Transactions on Computational Biology & Bioinformatics  
More specifically, in recent years, wavelet transforms have become an important mathematical analysis tool, with a wide and ever increasing range of applications.  ...  Specifically, we discuss several approaches of representing the biological sequence data numerically and methods of using wavelet analysis on the numerical sequences.  ...  For example, Jiang and Yan [55] used the Hilbert-Huang transform to study the properties of short genes which are genes whose exons sequence length is below 70 base pairs.  ... 
doi:10.1109/tcbb.2013.134 pmid:24407303 fatcat:asuizt6suzaodogz3p3lype554

Intelligent Fault Diagnosis and Forecast of Time-Varying Bearing Based on Deep Learning VMD-DenseNet

Shih-Lin Lin
2021 Sensors  
Healthy and various faults show different characteristics on the image, thus there is no need to select features.  ...  Coupled with the lightweight network, DenseNet, for image classification and prediction.  ...  Conflicts of Interest: The author declares no conflict of interest.  ... 
doi:10.3390/s21227467 pmid:34833542 pmcid:PMC8619351 fatcat:zqx3bswewnbsxmpddivcp737vy

A Past, Present, and Prospective Review on Microwave Nondestructive Evaluation of Composite Coatings

Wei Siang Teng, Muhammad Firdaus Akbar, Ghassan Nihad Jawad, Shin Yee Tan, Mohd Ilyas Sobirin Mohd Sazali
2021 Coatings  
Although existing microwave NDT methods have shown successful inspection of composite coatings, they often face several challenges, such as low spatial image quality and extensive data interpretation.  ...  Nevertheless, many of these limitations can be addressed by utilizing microwave NDT techniques with modern technologies such as soft computing.  ...  Data Availability Statement: No new data were created and analyzed in this study. Data sharing is not applicable to this article. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/coatings11080913 fatcat:dmnsq7ygorc6hjoeszbpvj3qdm

Specific Emitter Identification Techniques for the Internet of Things

Kejin Sa, Dapeng Lang, Chenggang Wang, Yu Bai
2019 IEEE Access  
Existing SEI methods are based on hand-crafted features to distinguish different emitters. In this paper, traditional feature extraction methods are studied and a new recognition method is proposed.  ...  Specific Emitter Identification (SEI) detects the individual emitter according its varied signal characteristics.  ...  Such methods include wavelet analysis, time frequency analysis, fractal features, empirical mode decomposition (EMD) transformations, and intrinsic time decomposition (ITD) transformations.  ... 
doi:10.1109/access.2019.2962626 fatcat:gbaar3z5vngsnkktig2t57g3ya

An Enhanced Statistical Approach to Identifying Photorealistic Images [chapter]

Patchara Sutthiwan, Jingyu Ye, Yun Q. Shi
2009 Lecture Notes in Computer Science  
Shrink-and-zoom (SAZ) attack, the proposed scheme, is simply based on image resizing and bilinear interpolation.  ...  "Computer graphics classification based on Markov process model and boosting feature selection technique,"  ...  Fu et al. [18] constructed image features for image splicing detection from Hilbert-Huang transform and moment of characteristic function of wavelet sub-bands.  ... 
doi:10.1007/978-3-642-03688-0_28 fatcat:oxca6jfktfaxxky32tshvd5zoi
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