A State-of-the-Art Review of Non-Destructive Testing Image Fusion and Critical Insights on the Inspection of Aerospace Composites towards Sustainable Maintenance Repair Operations

Article Instruments & Instrumentation

Detection and quantification of artificial delaminations in CFRP composites using ultrasonic thermography

Junke Huang et al.

Summary: This study investigated delamination detection in CFRP plates using ultrasonic thermography, and found that ultrasonic thermography can provide an efficient and cost-effective method for delamination detection in CFRP structures.

INFRARED PHYSICS & TECHNOLOGY (2023)

添加到收藏夹

Article Materials Science, Characterization & Testing

Laser ultrasonics and machine learning for automatic defect detection in metallic components

Gaolong Lv et al.

Summary: This paper develops an automatic and reliable nondestructive evaluation technique that uses laser ultrasonic and machine learning algorithms to quantify the width and depth of subsurface defects in metallic components simultaneously. The study utilizes 22 specimens and 220 labeled laser ultrasonic signals for training ML models. Principal component analysis (PCA) is implemented to optimize the recognition algorithm and improve detection accuracy. Among the three ML models proposed, PCA-XGBoost achieves the highest recognition rate of 98.48%.

NDT & E INTERNATIONAL (2023)

添加到收藏夹

Article Instruments & Instrumentation

A global-local damage localization and quantification approach in composite structures using ultrasonic guided waves and active infrared thermography

Kaleeswaran Balasubramaniam et al.

Summary: This paper emphasizes the effective quantification of hidden damage in composite structures using ultrasonic guided wave (GW) propagation-based structural health monitoring (SHM) and an artificial neural network (ANN) based active infrared thermography (IRT) analysis. The main novelties in this paper include the implementation of an improved SHM GW algorithm to localize the damages, a new pixel-based confusion matrix to quantify the size of the damage threshold, and a newly developed IRT-ANN algorithm to validate the damage quantification. The robust SHM methods effectively identified, localized, and quantified the different damage dimensions against the non-destructive testing-IRT method in different composite structures.

SMART MATERIALS AND STRUCTURES (2023)

添加到收藏夹

Article Engineering, Multidisciplinary

A novel index for vibration-based damage detection technique in laminated composite plates under forced vibrations: experimental study

Khaldoon N. Brethee et al.

Summary: In this study, vibration modal analysis was used to experimentally investigate the detection of fiber breakage (FB) and delamination in laminated composite plates. A new index named Improved Curvature Damage Factor (ICDF) was introduced to detect and localize damages in composite structures.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2023)

添加到收藏夹

Review Construction & Building Technology

Critical insights into the state-of-the-art NDE data fusion techniques for the inspection of structural systems

Walter Nsengiyumva et al.

Summary: In recent years, the demand for reliable NDE of structural systems has been growing, leading to the adoption of data fusion techniques to address uncertainty in testing results. Advances in sensor technologies and the era of Big Data have contributed to the rapid development of data fusion techniques and the establishment of new NDT opportunities. Challenges in handling NDE data and applying fusion algorithms have been identified and a roadmap for potential research prospects in NDE data fusion is provided.

STRUCTURAL CONTROL & HEALTH MONITORING (2022)

添加到收藏夹

Article Engineering, Multidisciplinary

Modeling of an aircraft structural health monitoring sensor network for operational impact assessment

Kai-Daniel Buechter et al.

Summary: Structural health monitoring of aircraft components can improve maintenance operations, but may also have adverse effects on aircraft safety and net present value due to potential false alarms, missed detections, and system costs.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2022)

添加到收藏夹

Article Materials Science, Characterization & Testing

Nondestructive damage evaluation of composites based on terahertz and X-ray image fusion

Jie Wang et al.

Summary: In this paper, a new fusion algorithm based on saliency region analysis and wavelet based multi-scale transforms is proposed to detect delamination and inclusion defects in GFRP composites. The algorithm effectively accentuates the complementary advantages of terahertz and X-ray NDT methods, resulting in improved defect inspections.

NDT & E INTERNATIONAL (2022)

添加到收藏夹

Article Materials Science, Characterization & Testing

Fourier method for 3-dimensional data fusion of X-ray Computed Tomography and ultrasound

William Leach et al.

Summary: This paper presents a novel technique called Computed Tomographic Fusion (CT-F) which combines x-ray CT reconstructions and ultrasound data using three-dimensional Fourier filtering in the frequency space, resulting in improved accuracy and quality of the image.

NDT & E INTERNATIONAL (2022)

添加到收藏夹

Review Materials Science, Multidisciplinary

A Review of Signal Processing Techniques for Ultrasonic Guided Wave Testing

Ana Rita Diogo et al.

Summary: This article provides an overview of signal processing techniques used for filtering signals, isolating modes, and identifying and localizing defects in ultrasonic guided wave testing (UGWT). The techniques are summarized and grouped based on the geometry of the tested structures. Although satisfactory results have been achieved, there is still room for improvement, especially by integrating machine learning algorithms to enhance defect identification.

METALS (2022)

添加到收藏夹

Article Materials Science, Characterization & Testing

Autonomous dynamic line-scan continuous-wave terahertz non-destructive inspection system combined with unsupervised exposure fusion

Jue Hu et al.

Summary: The objective of this study is to develop a new non-destructive inspection system using terahertz and infrared thermography to detect wooden objects in cultural heritage. A new fusion algorithm is proposed to correct the inaccurate image acquisition caused by unbalanced exposure source. The system has the capability of speedy detection and processing.

NDT & E INTERNATIONAL (2022)

添加到收藏夹

Article Materials Science, Composites

Novel infrared-terahertz fusion 3D non-invasive imaging of plant fibre-reinforced polymer composites

Jue Hu et al.

Summary: A novel infrared-terahertz fused approach was proposed in this study, combining outputs from infrared and terahertz imaging using an unsupervised deep residual fusion algorithm. This approach was used to inspect and evaluate plant fibre-reinforced polymer composites.

COMPOSITES SCIENCE AND TECHNOLOGY (2022)

添加到收藏夹

Article Materials Science, Characterization & Testing

Image Fusion Based on Evidence Theory for Multi-Energy X-Ray Computed Tomography

Fatima Zahra Oujebbour et al.

Summary: X-Ray computed tomography (XCT) has proven its importance in industrial applications for 3D imaging of complex shapes. In multi-material imaging, multi-energy XCT is a valuable technique that combines projections acquired at different energy levels to provide a single XCT image with all the information.

JOURNAL OF NONDESTRUCTIVE EVALUATION (2022)

添加到收藏夹

Article Engineering, Mechanical

Fusion of multi-light source illuminated images for effective defect inspection on highly reflective surfaces

Guizhong Fu et al.

Summary: This paper proposes a multi-light source illumination/acquisition system and a multi-stream CNN model for high-accuracy surface defect classification on highly reflective metal. By fusing features extracted from multi-light source illuminated images, more accurate recognition results can be generated. In addition, the authors also propose individual stream deep supervision and channel attention-based feature re-calibration techniques.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Automatic reconstruction of irregular shape defects in pulsed thermography using deep learning neural network

Haochen Liu et al.

Summary: This paper presents an automatic and accurate defect profile reconstruction method using deep learning Neural Networks (NN) in Infrared Thermography (IRT). The method is validated through experiments and shown to outperform several state-of-the-art post-processing methods in detailed defect corners and edges.

NEURAL COMPUTING & APPLICATIONS (2022)

添加到收藏夹

Article Chemistry, Analytical

Non-Destructive Testing Using Eddy Current Sensors for Defect Detection in Additively Manufactured Titanium and Stainless-Steel Parts

Heba E. Farag et al.

Summary: In this study, different eddy-current based probe designs were used to detect artificial defects in stainless-steel and titanium parts. By adding a coating layer to the probes, the signal reading can be improved and the detection of smallest subsurface defects and blind holes is possible. The results indicate that different probes are suitable for different types of defect detection.

SENSORS (2022)

添加到收藏夹

Review Chemistry, Multidisciplinary

A Survey of Multi-Focus Image Fusion Methods

Youyong Zhou et al.

Summary: This paper introduces the importance of multi-focus image fusion technique in solving the problem of optical lens depth of field and proposes an image fusion method based on boundary segmentation. The paper also classifies image fusion algorithms and lists subjective and objective evaluation standards.

APPLIED SCIENCES-BASEL (2022)

添加到收藏夹

Review Physics, Fluids & Plasmas

Neural Networks for Improving Wind Power Efficiency: A Review

Heesoo Shin et al.

Summary: This paper reviews attempts to maximize wind power efficiency using neural networks, including turbine control, wind farm control, and turbine blade design.

FLUIDS (2022)

添加到收藏夹

Article Instruments & Instrumentation

Non-destructive imaging of marqueteries based on a new infrared-terahertz fusion technique

Jue Hu et al.

Summary: This study presents a technique for detecting subsurface defects in cultural heritage objects by fusing information obtained from non-destructive imaging and terahertz imaging. The fusion technique allows for high-contrast defect detection at different depths and has been proven effective through experiments.

INFRARED PHYSICS & TECHNOLOGY (2022)

添加到收藏夹

Article Materials Science, Characterization & Testing

Multi-frequency Fused Lock-in Thermography in Detecting Defects at Different Depths

Yanjie Wei et al.

Summary: This paper proposes a multi-frequency fused lock-in thermography method to improve the depth resolution and obtain better inspection results. By acquiring infrared images under multiple excitation frequencies and extracting phase information along with a specified enhancement scheme, a fusion image containing defects with multiple depths is constructed using principal component analysis method. The experimental results show that the proposed method is able to identify all defects at multiple depths with clear edges and high contrast.

JOURNAL OF NONDESTRUCTIVE EVALUATION (2022)

添加到收藏夹

Article Engineering, Mechanical

Two-dimensional beam focusing impact localization based on probabilistic tomography fusion

Qi Chang et al.

Summary: This paper proposes a new algorithm for impact localization based on TDBF probabilistic tomography theory. The accuracy of the localization is greatly improved through the arrangement of cross-shaped piezoelectric sensors and the introduction of statistical analysis and Bayes theory. Experimental research verifies the effectiveness and potential of the proposed method in structural health monitoring.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)

添加到收藏夹

Article Optics

Detection of surface defects and subsurface defects of polished optics with multisensor image fusion

Huanyu Sun et al.

Summary: This paper proposes a method for detecting defects in optics using multisensor image fusion. Different types of surface defects and subsurface defects can be accurately distinguished through scattering and fluorescence images, using modified algorithms for image registration and feature-level fusion.

PHOTONIX (2022)

添加到收藏夹

Article Engineering, Manufacturing

Thermographic Inspection of CLP Defects on the Subsurface Based on Binary Image

Seungju Lee et al.

Summary: This study conducted experimental investigation on detecting thinning defects of steel plates used in nuclear power plant structures in Korea using LIT, highlighting the challenge of acquiring quantitative data in infrared thermography technology. The results demonstrated the potential of quantifying defects by calculating RMSE, suggesting further exploration in this area is warranted.

INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING (2022)

添加到收藏夹

Review Mechanics

Advances, limitations and prospects of nondestructive testing and evaluation of thick composites and sandwich structures: A state-of-the-art review

Walter Nsengiyumva et al.

Summary: Composite materials have become increasingly popular in high-tech and engineering applications, being used more frequently in primary and secondary load-bearing structures. Employing nondestructive testing and evaluation techniques can help detect and repair flaws in materials early, improving resource efficiency and safety.

COMPOSITE STRUCTURES (2021)

添加到收藏夹

Article Construction & Building Technology

A pipeline for enhanced multimodal 2D imaging of concrete structures

Sina Mehdinia et al.

Summary: This study introduces an imaging pipeline that integrates GPR and UEA data to achieve enhanced images of the interior of concrete structures, using an efficient total focusing method and a novel image fusion algorithm. The pipeline provides improved image interpretation for human inspectors and potential for enhancement in interpretation by computer vision and image analysis algorithms.

MATERIALS AND STRUCTURES (2021)

添加到收藏夹

Article Optics

An infrared and visible image fusion method based on VGG-19 network

Jingwen Zhou et al.

Summary: The proposed infrared and visible image fusion method directly uses VGG-19 for feature extraction to avoid the problem of insufficient detail extraction caused by decomposing the source image. Experimental results show that the method performs better in visual quality and noise reduction, while also outperforming some traditional or popular fusion methods in objective evaluation.

OPTIK (2021)

添加到收藏夹

Review Thermodynamics

Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study

Omar AlShorman et al.

Summary: The study reviews the research on condition monitoring and fault diagnosis based on sound and AE, focusing on four types of faults: bearings, rotor, stator, and compound. It analyzes the advantages and limitations of using sound and AE analysis in CM and FD, while addressing the challenges and future directions for AE-based CM and FD in rotating machinery, particularly for induction motors.

ADVANCES IN MECHANICAL ENGINEERING (2021)

添加到收藏夹

Review Remote Sensing

A comprehensive review on remote sensing image registration

Sourabh Paul et al.

Summary: In the past two decades, there has been significant improvement in the quality and quantity of remote sensing images, leading to a wide range of applications. Image registration is a challenging task in remote sensing due to geometric differences, intensity variations, and noise, with various algorithms developed to address these issues.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2021)

添加到收藏夹

Article Chemistry, Analytical

A Data Fusion Method for Non-Destructive Testing by Means of Artificial Neural Networks

Romain Cormerais et al.

Summary: This article focuses on non-destructive testing methods for aircraft parts, mainly using ultrasonic and eddy current techniques for defect detection, and combining the advantages of these two methods through machine learning. A simulated training database with US and EC signals in an aluminum block was implemented for training artificial neural networks (ANNs) to characterize flaws. Experimental results show the effectiveness of the method in defect detection, depth estimation, and radius estimation.

SENSORS (2021)

添加到收藏夹

Article Mechanics

Low-velocity impact damage detection and characterization in composite sandwich panels using infrared thermography

Honglei Xie et al.

Summary: This paper presents an experimental investigation on impact damage detection of Paulownia wood core sandwich structures using infrared thermography (IRT). The study shows that damage information can be obtained from temperature distribution images acquired by IRT, and discusses the effects of different factors on the induced damage in the structures.

COMPOSITE STRUCTURES (2021)

添加到收藏夹

Article Chemistry, Analytical

Multi-Excitation Infrared Fusion for Impact Evaluation of Aluminium-BFRP/GFRP Hybrid Composites

Jue Hu et al.

Summary: A multi-excitation infrared fusion method is introduced for impact-induced damage evaluation of fibre metal laminates, combining optical excitation thermography and vibro-thermography to improve defect detection capability. Different features are compared and selected for fusion imaging, providing clear and intuitive characterization of surface and sub-surface defects as well as internal deformation situations in the six samples investigated.

SENSORS (2021)

添加到收藏夹

Article Telecommunications

Impact of Image Compression on the Performance of Steel Surface Defect Classification with a CNN

Tajeddine Benbarrad et al.

Summary: This study investigated the impact of image compression in machine vision on the classification performance of steel surface defects, finding that models trained and tested with the same compression quality maintained similar classification performance, but efficiency was affected when different compression parameters were used. Compression-based data augmentation significantly increased classification precision and improved the generalization of models.

JOURNAL OF SENSOR AND ACTUATOR NETWORKS (2021)

添加到收藏夹

Review Geochemistry & Geophysics

Transport Infrastructure Monitoring by InSAR and GPR Data Fusion

Luca Ciampoli et al.

SURVEYS IN GEOPHYSICS (2020)

添加到收藏夹

Review Engineering, Aerospace

Successes and challenges in non-destructive testing of aircraft composite structures

Hossein Towsyfyan et al.

CHINESE JOURNAL OF AERONAUTICS (2020)

添加到收藏夹

Article Chemistry, Analytical

Improving Depth Resolution of Ultrasonic Phased Array Imaging to Inspect Aerospace Composite Structures

Reza Mohammadkhani et al.

SENSORS (2020)

添加到收藏夹

Article Chemistry, Analytical

Impact Damage Evaluation in Composite Structures Based on Fusion of Results of Ultrasonic Testing and X-ray Computed Tomography

Andrzej Katunin et al.

SENSORS (2020)

添加到收藏夹

Review Engineering, Biomedical

Deep learning in medical image registration: a review

Yabo Fu et al.

PHYSICS IN MEDICINE AND BIOLOGY (2020)

添加到收藏夹

Article Automation & Control Systems

Electromagnetic Induction Heating and Image Fusion of Silicon Photovoltaic Cell Electrothermography and Electroluminescence

Ruizhen Yang et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)

添加到收藏夹

Article Chemistry, Analytical

Evaluation of Bonding Quality with Advanced Nondestructive Testing (NDT) and Data Fusion

Bengisu Yilmaz et al.

SENSORS (2020)

添加到收藏夹

Article Computer Science, Information Systems

Time Segmented Image Fusion Based Multi- Depth Defects Imaging Method in Composites With Pulsed Terahertz

Qiang Wang et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Engineering, Multidisciplinary

Application of Pseudo-color Image Feature-Level Fusion in Nondestructive Testing of Wire Ropes

Juwei Zhang et al.

JOURNAL OF FAILURE ANALYSIS AND PREVENTION (2020)

添加到收藏夹

Review Water Resources

A basic review of fuzzy logic applications in hydrology and water resources

Shruti Kambalimath et al.

APPLIED WATER SCIENCE (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Feature extraction by PCA and diagnosis of breast tumors using SVM with DE-based parameter tuning

Luanyi Yang et al.

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2019)

添加到收藏夹

Article Engineering, Electrical & Electronic

Local Sparseness and Image Fusion for Defect Inspection in Eddy Current Pulsed Thermography

Peipei Zhu et al.

IEEE SENSORS JOURNAL (2019)

添加到收藏夹

Article Engineering, Mechanical

A robust Bayesian methodology for damage localization in plate-like structures using ultrasonic guided-waves

Sergio Cantero-Chinchilla et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A survey on region based image fusion methods

Bikash Meher et al.

INFORMATION FUSION (2019)

添加到收藏夹

Article Engineering, Multidisciplinary

Nondestructive Testing of Wire Ropes Based on Image Fusion of Leakage Flux and Visible Light

Juwei Zhang et al.

JOURNAL OF FAILURE ANALYSIS AND PREVENTION (2019)

添加到收藏夹

Review Materials Science, Characterization & Testing

Method for detecting damage in carbon-fibre reinforced plastic-steel structures based on eddy current pulsed thermography

Xuan Li et al.

NONDESTRUCTIVE TESTING AND EVALUATION (2018)

添加到收藏夹

Article Environmental Sciences

Hyperspectral Image Compression Using Vector Quantization, PCA and JPEG2000

Daniel Bascones et al.

REMOTE SENSING (2018)

添加到收藏夹

Article Instruments & Instrumentation

Non-destructive testing and evaluation of materials using active thermography and enhancement of signal to noise ratio through data fusion

Ranjit Shrestha et al.

INFRARED PHYSICS & TECHNOLOGY (2018)

添加到收藏夹

Review Multidisciplinary Sciences

State-of-the-art in artificial neural network applications: A survey

Oludare Isaac Abiodun et al.

HELIYON (2018)

添加到收藏夹

Proceedings Paper Materials Science, Multidisciplinary

Application of image fusion for the IR images in frequency modulated thermal wave imaging for Non Destructive Testing (NDT)

Kante Murali et al.

MATERIALS TODAY-PROCEEDINGS (2018)

添加到收藏夹

Article Instruments & Instrumentation

Comparative analysis on thermal non-destructive testing imagery applying Candid Covariance-Free Incremental Principal Component Thermography (CCIPCT)

Bardia Yousefi et al.

INFRARED PHYSICS & TECHNOLOGY (2017)

添加到收藏夹

Article Materials Science, Characterization & Testing

Image fusion of ultrasonic and thermographic inspection of carbon/epoxy patches bonded to an aluminum plate

P. Daryabor et al.

NDT & E INTERNATIONAL (2017)

添加到收藏夹

Article Chemistry, Analytical

An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox

Luyang Jing et al.

SENSORS (2017)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

Densely Connected Convolutional Networks

Gao Huang et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

添加到收藏夹

Article Acoustics

Combining Simulated and Experimental Data to Simulate Ultrasonic Array Data From Defects in Materials With High Structural Noise

Harry A. Bloxham et al.

IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL (2016)

添加到收藏夹

Article Materials Science, Characterization & Testing

Thermal (IR) and Other NDT Techniques for Improved Material Inspection

D. Balageas et al.

JOURNAL OF NONDESTRUCTIVE EVALUATION (2016)

添加到收藏夹

Article Chemistry, Analytical

Decision-Level Fusion of Spatially Scattered Multi-Modal Data for Nondestructive Inspection of Surface Defects

Rene Heideklang et al.

SENSORS (2016)

添加到收藏夹

Proceedings Paper Physics, Applied

Fusion of Multi-sensory NDT Data for Reliable Detection of Surface Cracks: Signal-level vs. Decision-level

Rene Heideklang et al.

42ND ANNUAL REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION: INCORPORATING THE 6TH EUROPEAN-AMERICAN WORKSHOP ON RELIABILITY OF NDE (2016)

添加到收藏夹

Article Materials Science, Characterization & Testing

Clustering Based Multi Sensor Data Fusion for Honeycomb Detection in Concrete

Christoph Voelker et al.

JOURNAL OF NONDESTRUCTIVE EVALUATION (2015)

添加到收藏夹

Article Materials Science, Characterization & Testing

Multi-sensor image fusion at signal level for improved near-surface crack detection

Rene Heideklang et al.

NDT & E INTERNATIONAL (2015)

添加到收藏夹

Proceedings Paper Engineering, Industrial

Review of Non-destructive Testing (NDT) Techniques and their applicability to thick walled composites

M. R. Jolly et al.

PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON THROUGH-LIFE ENGINEERING SERVICES (2015)

添加到收藏夹

Review Computer Science, Interdisciplinary Applications

Medical image registration: a review

Francisco P. M. Oliveira et al.

COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING (2014)

添加到收藏夹

Article Materials Science, Characterization & Testing

Image Fusion for Improved Detection of Near-Surface Defects in NDT-CE Using Unsupervised Clustering Methods

Patricia Cotic et al.

JOURNAL OF NONDESTRUCTIVE EVALUATION (2014)

添加到收藏夹

Article Engineering, Multidisciplinary

Pulsed eddy current and ultrasonic data fusion applied to stress measurement

A. Habibalahi et al.

MEASUREMENT SCIENCE AND TECHNOLOGY (2014)

添加到收藏夹

Review Engineering, Aerospace

Advanced design for lightweight structures: Review and prospects

Daniel F. O. Braga et al.

PROGRESS IN AEROSPACE SCIENCES (2014)

添加到收藏夹

Article Chemistry, Physical

A noise robust method based on completed local binary patterns for hot-rolled steel strip surface defects

Kechen Song et al.

APPLIED SURFACE SCIENCE (2013)

添加到收藏夹

Article Construction & Building Technology

Damage classification in reinforced concrete beam by acoustic emission signal analysis

Shahiron Shahidan et al.

CONSTRUCTION AND BUILDING MATERIALS (2013)

添加到收藏夹

Article Materials Science, Characterization & Testing

Development of image fusion methodology using discrete wavelet transform for eddy current images

Sasi Balakrishnan et al.

NDT & E INTERNATIONAL (2012)

添加到收藏夹

Article Materials Science, Characterization & Testing

NDE data fusion to improve the evaluation of concrete structures

Marie-Aude Ploix et al.

NDT & E INTERNATIONAL (2011)

添加到收藏夹

Article Materials Science, Characterization & Testing

Principal Component Analysis-Based Image Fusion Routine with Application to Automotive Stamping Split Detection

Yi Zhou et al.

RESEARCH IN NONDESTRUCTIVE EVALUATION (2011)

添加到收藏夹

Article Remote Sensing

Multivariate statistical analysis of measures for assessing the quality of image fusion

Shuang Li et al.

INTERNATIONAL JOURNAL OF IMAGE AND DATA FUSION (2010)

添加到收藏夹

Article Engineering, Mechanical

Image Fusion for Infrared Thermography and Inspection of Pressure Vessel

Yu-Peng Tian et al.

JOURNAL OF PRESSURE VESSEL TECHNOLOGY-TRANSACTIONS OF THE ASME (2009)

添加到收藏夹

Article Materials Science, Characterization & Testing

Comparative Study of Active Thermography Techniques for the Nondestructive Evaluation of Honeycomb Structures

Clemente Ibarra-Castanedo et al.

RESEARCH IN NONDESTRUCTIVE EVALUATION (2009)

添加到收藏夹

Article Materials Science, Characterization & Testing

Evaluation of radar and complementary echo methods for NDT of concrete elements

Christiane Maierhofer et al.

JOURNAL OF NONDESTRUCTIVE EVALUATION (2008)

添加到收藏夹

Article Materials Science, Characterization & Testing

Qualitative and quantitative assessment of aerospace structures by pulsed thermography

C. Ibarra-Castanedo et al.

NONDESTRUCTIVE TESTING AND EVALUATION (2007)

添加到收藏夹

Review Engineering, Aerospace

Fibre reinforced composites in aircraft construction

C Soutis

PROGRESS IN AEROSPACE SCIENCES (2005)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Image quality assessment: From error visibility to structural similarity

Z Wang et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2004)

添加到收藏夹

Article Engineering, Multidisciplinary

Bayesian and Dempster-Shafer fusion

S Challa et al.

SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES (2004)

添加到收藏夹

Article Mechanics

Principal component thermography for flaw contrast enhancement and flaw depth characterisation in composite structures

N Rajic

COMPOSITE STRUCTURES (2002)

添加到收藏夹

Review Engineering, Biomedical

Medical image registration

DLG Hill et al.

PHYSICS IN MEDICINE AND BIOLOGY (2001)

添加到收藏夹

Article Engineering, Electrical & Electronic

Experimenting with pixel-level NDT data fusion techniques

XE Gros et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2000)

添加到收藏夹

Article Engineering, Multidisciplinary

Rapid thermal non-destructive testing of aircraft components

D Bates et al.

COMPOSITES PART B-ENGINEERING (2000)

添加到收藏夹

A State-of-the-Art Review of Non-Destructive Testing Image Fusion and Critical Insights on the Inspection of Aerospace Composites towards Sustainable Maintenance Repair Operations

相关参考文献

导出引文

分享论文