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In memory of Dr Carosena Meola Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2024-02-08 Giovanni Maria Carlomagno
Published in Quantitative InfraRed Thermography Journal (Vol. 21, No. 1, 2024)
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Effectiveness of ConvNeXt variants in diabetic feet diagnosis using plantar thermal images Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2024-02-05 Oktay Fasihi-Shirehjini, Farshid Babapour-Mofrad
Diabetic foot ulcers are one of the most significant complications experienced by patients with Diabetes Mellitus (DM), which can result in amputation and demise; therefore, it is essential to diag...
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High-resolution induction thermography for detection of micro-cracks in Ti-6Al-4V alloys Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2024-01-22 Nithin Puthiyaveettil, Jalaj Kumar, Krishnan Balasubramaniam
This study focuses on establishing a non-contact Non-Destructive Testing (NDT) method for detecting micro-cracks in Ti-6Al-4 V sample using the Eddy Current Thermography (ECT) technique. The study ...
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Corrosion under insulation mitigation by passive multivariate thermography Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2024-01-22 Marcos Paulo Vieira de Souza, Fernando López, Xavier Maldague
Corrosion under insulation (CUI) is one of the major concerns of oil and petrochemical installations as damage evolves invisibly under insulation layers and usually revealed on the occurrence of le...
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Management of thermal drift of bolometric infrared cameras: limits and recommendations Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2024-01-17 Samy Brazane, Olivier Riou, Fabien Delaleux, Laurent Ibos, Jean Felix Durastanti
In this article, the authors propose a general framework for checking the calibration of the A325sc camera and then minimizing the temperature measurement errors due to thermal drift. Thermal drift...
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Active thermal super-resolution based on laser flying spot technique coupled with IR thermography and wavelet transform Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2024-01-03 M.M. Groz, E. Abisset-Chavanne, J.C. Batsale, A. Sommier
A super-resolution technique combining the laser flying spot technique with infrared (IR) thermography and wavelet transform is proposed herein. The resolution of thermal images captured by an IR c...
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IR-GAN: improved generative adversarial networks for infrared breast image segmentation Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-12-28 Kaushik Raghavan, Sivaselvan Balasubramanian, Kamakoti Veezhinathan
With medical imaging and artificial intelligence advancements, breast cancer can now be detected at its earliest stages. Infrared imaging is a promising tool in the fight against breast cancer. Seg...
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Thermography for assessing the thermal performance of innovative geopolymeric radiant panels Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-11-30 Giovanni Ferrarini, Paolo Bison, Alessandro Bortolin, Gianluca Cadelano, Enrico Garbin, Marco Natali, Matteo Panizza, Fabio Peron, Adriana Bernardi, Sergio Tamburini
One of the last scientific activities of Ermanno Grinzato was the research on radiant heating and cooling systems. In addition to providing a novel view for thermal and thermographic testing of the...
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Automated crack detection on metallic materials with flying-spot thermography using deep learning and progressive training Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-10-19 Kevin Helvig, Pauline Trouvé-Peloux, Ludovic Gaverina, Baptiste Abeloos, Jean-Michel Roche
In non-destructive testing for metallic materials, ‘Flying-spot’ thermography allows the detection of cracks thanks to the scanning of samples by a local laser heat source observed in the infrared ...
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Automated surface defect detection in forged parts by inductively excited thermography and magnetic particle inspection Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-10-06 Sergey Lugin, David Müller, Michael Finckbohner, Udo Netzelmann
Inductively excited thermography has been shown to detect cracks in metallic components with good sensitivity. It is discussed as an alternative to magnetic particle testing. An open question to ac...
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Finite element skin models as additional data for dynamic infrared thermography on skin lesions Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-09-15 Jan Verstockt, Ruben Somers, Filip Thiessen, Isabelle Hoorens, Lieve Brochez, Gunther Steenackers
ABSTRACT Skin cancer is a significant global health concern, with increasing incidence rates and a high number of deaths each year. Early detection plays a crucial role in improving survival rates, but current screening methods, such as total body skin examination, often lead to unnecessary invasive excisions. This research aims to explore the use of dynamic infrared thermography (DIRT) in combination
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A note on the early thermographic approaches for the investigation of the Cultural Heritage Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-08-14 S. Paoloni, N. Orazi, U. Zammit, P. Bison, F. Mercuri
ABSTRACT In this paper, we present an overview of some of the early applications of Infrared Thermography (IRT) to Cultural Heritage (CH) where Ermanno Grinzato, to whom the present issue is dedicated, was the leading scientist. In such a presentation, the works of arts have been divided into two main categories, namely movable and immovable CH. For each kind of CH, the good quality of the results
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Determination of distal temperature using infrared thermography in Mexican children with diabetes Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-07-24 Antony Morales-Cervantes, Edgar Guevara, Francisco Javier González, Gerardo Marx Chávez-Campos, Héctor Javier Vergara-Hernández, Juan Manuel Núñez-Leyva, Alejandra Ortiz-Dosal, Eleazar Samuel Kolosovas-Machuca
ABSTRACT Diabetes mellitus causes temperature alterations in the body. Proper treatment and follow-up can prevent serious complications. In this work, a case-control study was conducted with 16 children with diabetes mellitus type I and II and 25 healthy children attending a public hospital in San Luis Potosí, Mexico. Distal-to-proximal and bilateral temperature gradients were calculated from thermograms
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The registration of multi-modal point clouds for industrial inspection Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-07-11 Parham Nooralishahi, Sandra Pozzer, Gabriel Ramos, Fernando López, Xavier Maldague
ABSTRACT This study presents a complete solution for multi-modal inspection of industrial components, including a processing pipeline for registering consecutive multi-modal point clouds comprising thermal and visible sensors’ data. A comparative evaluation of optimisation and learning-based registration methods is provided as part of the processing pipeline. Moreover, a benchmark dataset of point
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Infrared thermometry in high temperature materials processing: influence of liquid water and steam Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-07-10 Artem A. Trofimov, Thomas R. Watkins, Thomas R. Muth, Gary M. Cola, Hsin Wang
ABSTRACT The capability of four infrared thermometry techniques (2-colour and 1-colour pyrometers, Pyrolaser and IR camera) was evaluated with respect to the impact of water or steam in the line of sight to determine temperature from two heat sources (blackbody calibration source and steel block inside the furnace). The influence of liquid water on the temperature readings was minimal when using 2-colour
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Ermanno Grinzato and the humidity assessment in porous building materials: retrospective and new achievements Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-07-07 P. Bison, A. Bortolin, G. Cadelano, G. Ferrarini, M. Girotto, E. Guolo, F. Peron, M. Volinia
ABSTRACT In this work, Ermanno Grinzato is remembered in one of the main activities of his scientific life: the use of IR thermography to assess quantitatively the humidity content in porous materials, both in loose soil and in the materials used in buildings, with an accent on the historical ones. In the first part, his direct contribution is described and in the second part some new contributions
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Deep convolutional autoencoder thermography for artwork defect detection Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-07-06 Yi Liu, Fumin Wang, Kaixin Liu, Miranda Mostacci, Yuan Yao, Stefano Sfarra
ABSTRACT Infrared thermography is a cost-effective non-destructive evaluation technique that plays a critical role in extracting information about defects in cultural heritage such as works of art. However, in-depth studies on the internal structure of contemporary artworks using infrared thermography remain lacking, and therefore, a deep convolutional autoencoder thermography (DCAT) data analysis
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High power density laser estimation using quantitative thermal imaging method Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-07-06 Abderezak Aouali, Thomas Lafargue-Tallet, Stéphane Chevalier, Alain Sommier, Raymond Peiffer, Maximilian Taillandier, Jean-Christophe Batsale, Christophe Pradere
ABSTRACT The knowledge of the amplitude and the spatial distribution of an excitation flux is of great interest for the quantification of heat sources. In this work, the development of a non-contact imaging powermeter based on the association of a bolometer with an infrared camera is described. This powermeter allows, thanks to infrared thermographic measurements and image processing methods, the quantitative
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Influence of the number of measurements on detecting internal defects using photothermal super resolution reconstruction with random pixel patterns Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-06-26 Julien Lecompagnon, Philipp Hirsch, Christian Rupprecht, Mathias Ziegler
ABSTRACT In this work, the limits of using spatially structured heating combined with subsequent photothermal super resolution reconstruction for the thermographic detection and resolution of internal defects are investigated. The approach is based on the application of modern high-power laser projector technology, which is used to repeatedly project varying spatially structured 2D pixel patterns to
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Experimental study of thermomechanical behaviour of Gum Metal during cyclic tensile loadings: the quantitative contribution of IRT and DIC Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-05-31 Karol M. Golasiński, Michał Maj, Leszek Urbański, Maria Staszczak, Arkadiusz Gradys, Elżbieta A. Pieczyska
ABSTRACT Thermomechanical behaviour of Gum Metal (Ti–23Nb–0.7Ta–2.0Zr–1.2O, at.%) under cyclic tension was experimentally investigated using infrared thermography and digital image correlation. The thermomechanical characteristics of particular stages of the subsequent loading-unloading cycles of Gum Metal were identified, i.e. (I) the linear, elastic loading accompanied by the temperature drop, (II)
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Ermanno Grinzato: a survey on thermophysical properties assessment Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-05-29 P. Bison, F. Cernuschi, A. Muscio
ABSTRACT In this work, the direct contribution and the inspiring activity of Ermanno Grinzato are resumed, focusing on the field of thermophysical properties evaluation. The main branches, followed in more than 30 years of research for the development of the InfraRed thermography technique, are reported and related to the scientific and industrial panorama at the time of their introduction. Those branches
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Association of metabolic syndrome risk factors with activation of brown adipose tissue evaluated by infrared thermography Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-05-29 Samir E. da Rosa, Eduardo B. Neves, Eduardo C. Martinez, Runer A. Marson, Victor M. Machado de Ribeiro dos Reis
ABSTRACT Metabolic syndrome (MetS) is positively correlated to visceral adipose tissue (VAT) because it secretes substances responsible for metabolic changes. Brown adipose tissue (BAT) has been identified as a major player in regulating body metabolism and reducing MetS risk factors. This study aims to analyze the association of MetS risk factors with BAT activation evaluated by infrared thermography
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Automatic thermograms segmentation, preliminary insight into spilling drop test Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-05-22 J. Melada, P. Arosio, M. Gargano, N. Ludwig
ABSTRACT The spilling drop test (SDT) is a non-destructive test that uses passive thermography to characterise the property of the building surfaces to absorb and diffuse water. However, the drops made visible by the evaporation process, show unclear contours that do not allow easy quantification of the wetted area. In this work, three image segmentation methods based on different statistical treatments
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Thermograms-based detection of cancerous tumors in breasts applying texture features Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-05-08 Vartika Mishra, Santanu Kumar Rath, Durga Prasad Mohapatra
ABSTRACT In a global scenario, it is a fact that the disease of breast cancer among women is the major cause of death as recorded in the last three decades. The detection of cancerous tumour at an early stage helps to prevail a better chance of survival. Among different modalities such as Mammography, Ultrasound, X-Ray and various others, Thermography is considered to be an early detector of breast
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Electrothermal analysis of a TEC-less IR microbolometer detector including self-heating and thermal drift Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-04-13 M. Felczak, T. Sosnowski, R. Strąkowski, G. Bieszczad, S. Gogler, J. Stępień, B. Więcek
ABSTRACT The article presents the results of modelling and experiments of the self-heating and thermal drift effects of microbolometric sensors of infrared radiation. The developed electrothermal model of the readout electronic circuit generates the power dissipated in the active microbolometer during row-by-row scanning implemented in the focal plane array (FPA) detector. Two approaches to thermal
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A new approach for super-resolution and classification applications on neonatal thermal images Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-02-28 Fatih Mehmet Senalp, Murat Ceylan
ABSTRACT Thermal imaging systems are harmless to human health and enable contactless heat measurements. The thermal cameras are used in many public sectors where it is necessary to detect the change of temperature values. However, thermal cameras are costly and produce images with low edge information. This situation prevents the widespread use of thermal cameras. Therefore, in recent years, the researches
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Scanning inductive pulse phase thermography with changing scanning speed for non-destructive testing Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-02-02 C. Tuschl, B. Oswald-Tranta, T. Agathocleous, S. Eck
ABSTRACT This work aims at non-destructive detection of surface and subsurface defects in metallic specimens (e.g. railway track components) via pulsed inductive thermography in a moving setup. A new approach for scanning with changing speed has been developed to enable manual scanning of components in track. A steel specimen is heated with an inductor, and the surface temperature, including its variation
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Ermanno Grinzato’s contribution to infrared diagnostics and nondestructive testing: in memory of an outstanding researcher Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-01-27 V.P Vavilov, P.G Bison, D.D Burleigh
ABSTRACT This paper is a tribute to Dr. Ermanno Grinzato, who passed away 10 years ago (1952–2012). We will review the original research and contributions that Dr. Grinzato made to infrared thermographic non-destructive testing and data analysis. Dr. Grinzato proposed and developed some novel techniques, including the evaluation of construction quality in civil engineering, the inspection of art objects
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CodCAM: A new ensemble visual explanation for classification of medical thermal images Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-01-27 Ahmet Haydar Ornek, Murat Ceylan
ABSTRACT Early diagnosis systems have vital importance to monitor and follow-up the conditions of neonates. Thermal imaging as a non-invasive and non-contact method has been used to monitor neonates for over decades. In this study, we train a convolutional neural network (CNN) model that classifies medical thermograms as healthy and unhealthy using real neonatal thermal images captured within a year
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Assessing the effective penetration depth of mid-wave infrared radiation in water for fluid dynamic measurements Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-01-11 E. Yu. Koroteeva
ABSTRACT The infrared optical properties of most fluids are known to be strongly wavelength-dependent. Since the conventional infrared detectors are sensitive to ranges of wavelengths, of practical interest are usually the integral fluid properties within a certain spectral band. Here, we propose a simple yet reliable way to measure (in-situ) the effective thickness of the infrared emitting (sub-millimetre)
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Medical infrared thermal image based fatty liver classification using machine and deep learning Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2023-01-10 Ahmet Özdil, Bülent Yilmaz
ABSTRACT Non-alcoholic fatty liver disease (NAFLD) causes accumulation of excess fat in the liver affecting people who drink little to no alcohol. Non-alcoholic steatohepatitis (NASH) is an aggressive form of fatty liver disease (inflammation in the liver), may progress to cirrhosis and liver failure. Liver function tests, ultrasound (US) and magnetic resonance imaging (MRI) are used to help diagnose
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Calculating probability of detection of short surface cracks using inductive thermography Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2022-12-23 B. Oswald-Tranta, A. Hackl, P. Lopez de Uralde Olavera, E. Gorostegui-Colinas, A. Rosell
ABSTRACT Inductive thermography experiments on artificial defects were used to calculate the POD of this inspection technique. In nickel-based austenitic superalloy samples defects in the range of 0.3–1.9 mm length and with 0.25–1.5 mm depth were inspected. 11 samples, each of them with 9 different defects, were used for the experiments. Additionally, finite element simulations were carried out to
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Distance and camera features measurements affect the detection of temperature asymmetries using infrared thermography Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2022-11-17 Álvaro S. Machado, Mar Cañada-Soriano, Irene Jimenez-Perez, Marina Gil-Calvo, Felipe Pivetta Carpes, Pedro Perez-Soriano, Jose Ignacio Priego-Quesada
ABSTRACT Small skin temperature asymmetries are claimed to indicate injuries, but the influence of measurement conditions and technical aspects of image acquisition are concerns for determining temperature asymmetries. This research determines whether distance and camera specifications affect thermal asymmetries detection. We simulated thermal asymmetries filling two glasses with water at different
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Application of extension rings in thermography for electronic circuits imaging Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2022-11-15 M. Kałuża, A. Hatzopoulos
Thermographic cameras are often used in areas, where resolutions below 100 µm per pixel are required, as for example in electronics. Such resolutions can be obtained using dedicated lenses. As an a...
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Feature analysis for drowsiness detection based on facial skin temperature using variational autoencoder : a preliminary study Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2022-11-02 A. Masaki, K. Nagumo, K. Oiwa, A. Nozawa
Technology to detect signs of drowsiness in drivers is essential even in the age of automated driving to prevent traffic accidents. In this study, facial skin temperature, which can be measured rem...
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Multi-label classification algorithms for composite materials under infrared thermography testing Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2022-10-14 Muflih Alhammad, Nicolas Peter Avdelidis, Clemente Ibarra Castanedo, Xavier Maldague, Argyrios Zolotas, Ebubekir Torbali, Marc Genest
The key idea in this paper is to propose multi-labels classification algorithms to handle benchmark thermal datasets that are practically associated with different data characteristics and have onl...
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Breast cancer classification on thermograms using deep CNN and transformers Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2022-09-28 Ella Mahoro, Moulay A. Akhloufi
Breast thermography is a screening approach for breast cancer detection by measuring the breast skin temperature. Breast cancer is the most common cancer among women and can affect either women or ...
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Surface crack detection by using vibrothermography technique Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2022-09-08 Choosak Ngaongam, Mongkol Ekpanyapong, Rapee Ujjin
This paper aims to optimise the vibration frequency that produces the highest temperature difference between crack location and non-defect location. The optimisation was based on thermoelastic damp...
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Obituary of Christiane Maierhofer Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2022-08-04 Rainer Krankenhagen
Published in Quantitative InfraRed Thermography Journal (Vol. 19, No. 4, 2022)
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Improvement of the manufacturing quality test of plastic containers by using thermography scans Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2022-08-03 Roberto Carlos Martínez Montejano, David Emmanuel García Martínez, José Jimmy Jaime Rodríguez, Eleazar Samuel Kolosovas Machuca, Luis Javier Ontañón García Pimentel
Quality control processes guarantee the proper product performance prior to its distribution in the market. In particular, the analysis of this process in plastic containers is developed by sensors...
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MMSHRs: a morphology model of suspicious hyperthermic regions for degree of severity prediction from breast thermograms Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2022-07-11 Usha Rani Gogoi, Mrinal Kanti Bhowmik, Gautam Majumdar
ABSTRACT The presence of suspicious hyperthermic regions (SHRs) in breast thermograms is a prominent indicator of breast pathology, for which delineation and analysis of SHRs have a crucial role in early detection of breast abnormalities. A novel approach for breast abnormality grading, namely the morphology model of suspicious hyperthermic regions (MMSHRs), is proposed here. The proposed model first
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Development of a thermal excitation source used in an active thermographic UAV platform Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2022-06-03 Shakeb Deane, Nicolas P. Avdelidis, Clemente Ibarra-Castanedo, Alex A. Williamson, Stephen Withers, Argyrios Zolotas, Xavier P. V. Maldague, Mohammad Ahmadi, Shashank Pant, Marc Genest, Hobivola A. Rabearivelo, Antonios Tsourdos
ABSTRACT This work aims to address the effectiveness and challenges of using active infrared thermography (IRT) onboard an unmanned aerial vehicle (UAV) platform. The work seeks to assess the performance of small low-powered forms of excitation which are suitable for active thermography and the ability to locate subsurface defects on composites. An excitation source in multiple 250 W lamps is mounted
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Latent Low Rank Representation Applied to Pulsed Thermography Data For Carbon Fibre Reinforced Polymer Inspection Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2022-05-17 J. Fleuret, S. Ebrahimi, C. Ibarra-Castanedo, X. Maldague
ABSTRACT This paper explores the implementation of Latent Low-Rank Representation (LatLRR) on pulsed thermographic data. LatLRR decomposes an image in the form of a linear association of three types of information: observed, unobserved and noise. This information is then used in order to separate the salient and principal features. This study has found that when used as a post-processing method prior
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Application of blind image quality assessment metrics to pulsed thermography Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2022-05-12 J. Fleuret, S. Ebrahimi, C. Ibarra-Castanedo, X. Maldague
This paper explores the application of Blind Image Quality Assessment (BIQA) metrics to pulsed thermography. Two BIQA were used to subsample a sequence of images acquired using Pulse Thermography (...
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Introduction of the combination of thermal fundamentals and Deep Learning for the automatic thermographic inspection of thermal bridges and water-related problems in infrastructures Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2022-04-18 I. Garrido, S. Lagüela, Q. Fang, P. Arias
Infrastructure inspection is fundamental to keep its service performance at the highest level. For that, special attention should be paid to the most severe defects in order to be able to subsequen...
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A metrology enabled thermal imager for thermal vacuum testing Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2022-03-28 Wesley Bond, Vivek Panicker, Jamie McMillan, Rob Simpson, Michael Hayes, Graham Machin, Gianluca Casarosa, James Etchells
ABSTRACT The ground testing of satellites requires the validation of the satellite’s thermal model whilst operational in vacuum. Thermocouples are widely used for this testing, but they are only able to provide a point temperature measurement. In contrast a vacuum capable, metrological thermal imager could be used to measure the temperature across a large surface area with high spatial resolution.
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Thermographic network identification for transient thermal heat path analysis Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2022-02-07 Nils J. Ziegeler, Peter W. Nolte, Stefan Schweizer
ABSTRACT In this work, an evaluation method for transient thermal measurements is presented. It allows for a high temporal sensitivity by analysing the spectral composition of a thermal transient, the so-called time constant spectrum. The spectral components provide a detailed insight into the heat flow dynamics and thermal parameters describing a multi-layer system. The method is based on a one-dimensional
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On the use of pulsed thermography signal reconstruction based on linear support vector regression for carbon fiber reinforced polymer inspection Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2022-02-07 J. Fleuret, S. Ebrahimi, C. Ibarra Castanedo, X. Maldague
ABSTRACT This study introduces and evaluates a new approach to reconstruct image sequences acquired during non-destructive testing by pulsed thermography. The proposed method consists of applying two linear support vector regressions to model the evolution of the data from both a spatial and temporal point of view. Each regression vectors will map the data with the number of pixels and the number of
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Automated classification of thermal defects in the building envelope using thermal and visible images Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2022-01-31 Changmin Kim, Gwanyong Park, Hyangin Jang, Eui-Jong Kim
ABSTRACT The first step in establishing a retrofit strategy for an existing building is to identify the type of thermal defects in the building envelope. Infrared thermography is mainly used to detect thermal defects. However, the diagnosis results are subjectively influenced by the auditor’s experience. This study proposes a method for classifying thermal defects into material-related thermal bridges
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Assessment of autonomic response in 6–12-month-old babies during the interaction with robot and avatar by means of thermal infrared imaging Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2022-01-06 C. Filippini, D. Cardone, D. Perpetuini, A.M. Chiarelli, L.A. Petitto, A. Merla
ABSTRACT Since birth, infants have been immersed in a social environment, often surrounded by artificial-intelligent-agents (AIAs). However, there is a paucity of work on infants’ psychophysiological responses, and their related interest, when interacting with AIAs. Here, the infants’ psychophysiological responses during interactions with an embodied robot and a virtual human/avatar presented on a
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New computer aided diagnostic system using deep neural network and SVM to detect breast cancer in thermography Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2022-01-05 Nabil Karim Chebbah, Mohamed Ouslim, Sorore Benabid
ABSTRACT Mammography is widely used for identifying breast cancer. However, this technique is invasive, which causes X-ray tissue damage and very often fails to detect a certain tumour size. Thermography is another alternative, being non-ionising, non-invasive and able to detect abnormal breast conditions at an early stage. In this paper, we propose a new computer-aided diagnosis system based on artificial
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Factor analysis thermography for defect detection of panel paintings Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2021-12-28 Kaixin Liu, Kai-Lun Huang, Stefano Sfarra, Jianguo Yang, Liu Yi, Yao Yuan
ABSTRACT Active infrared thermography is an important non-destructive testing method used for revealing defect structures in materials. In many applications, thermographic data processing is necessary to extract defect features from a large number of thermal images. This work proposes to use a factor analysis thermography (FAT) method that automatically extracts defect features from thermograms via
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Thermogram classification using deep siamese network for neonatal disease detection with limited data Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2021-12-28 Saim Ervural, Murat Ceylan
ABSTRACT Monitoring the body temperatures and evaluating the thermal asymmetry of newborns give an idea about neonatal diseases. Infrared thermography is a non-invasive, non-harmful, and non-contact modality that allows the monitoring of the body temperature distribution. Early diagnosis using a limited data set is extremely vital due to the high mortality rate in newborns and some difficulties in
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Non-destructive Evaluation Method for Thermal Parameters of Prismatic Li-ion Cell Using Infrared Thermography Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2021-12-13 Duo Yixian, Hou Dexin, Dong Zewen, Ye Shuliang
ABSTRACT This work proposed a non-destructive evaluation method using IR camera for prismatic Li-ion cell to evaluate the thermal conductivity and the thermal contact resistance (TCR) for both in-plane and cross-plane directions. In this study, experiments were conducted using two 50-Ah cells and two 75-Ah cells. The cross-plane parameters exhibit significant repeatability, as evidenced in three independent
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Infrared thermography applied to the surface pressure measurements in insoluble surfactant monolayers Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2021-10-29 Nikolay Vinnichenko, Alexey Pushtaev, Yulia Plaksina, Alexander Uvarov
ABSTRACT New experimental technique, based on IR thermography, is proposed to measure the surface pressure for dilute monomolecular films of surfactants on a liquid surface. The surfactant molecules are distributed unevenly along the surface, which leads to the formation of surface regions of two kinds. Part of the surface is covered with surfactant film, which suppresses the surface renewal and inhibits
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Combining modern 3D reconstruction and thermal imaging: generation of large-scale 3D thermograms in real-time Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2021-10-25 Sebastian Schramm, Phil Osterhold, Robert Schmoll, Andreas Kroll
ABSTRACT In recent years, due to the availability of affordable 3D sensors and the increased computing power, various methods for the generation of 3D thermograms have been developed. 3D thermal imaging describes the fusion of geometry and temperature data. A well-established approach is the fusion of data from depth and long-wave infrared (LWIR) cameras. However, these models generated in real-time
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Extraction of hottest blood vessels from breast thermograms using state-of-the-art image segmentation methods Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2021-09-07 Aayesha S. Hakim, R. N. Awale
ABSTRACT A major concern for women’s health in today’s age is breast cancer. Thermography is an upcoming technology that is painless, private and relatively cheap to screen breast health. The presence of asymmetric hot blood vessel patterns in the breast thermogram portrays an abnormality. Proper extraction of these hotspots from the breast can help build a reliable breast cancer detection system and
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A novel method for sensitivity modelling of optical gas imaging thermal cameras with warm filters Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2021-08-11 Robert Olbrycht
ABSTRACT The work proposes a novel method for sensitivity modelling of uncooled thermal cameras for optical gas imaging purposes. Such cameras use warm interference filters for better gas leak contrast at the cost of decreased sensitivity. With the presented method, it is possible to estimate this sensitivity without the need for physically installing a filter inside the camera. It can be done for
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Detection and characterisation of short fatigue cracks by inductive thermography Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2021-07-28 Beate Oswald-Tranta
ABSTRACT Inductive thermography can be excellently used to detect surface cracks in metals. A short induction heating pulse (0.1-1s) induces eddy currents in the sample and an infrared camera records the surface temperature distribution. As cracks disturb the eddy current distribution and the heat diffusion, they become visible in the infrared images. In this paper it is investigated, how different
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Automatic body part and pose detection in medical infrared thermal images Quant. InfraRed Thermogr. J. (IF 2.5) Pub Date : 2021-06-29 Ahmet Özdil, Bülent Yılmaz
ABSTRACT Automatisation and standardisation of the diagnosis process in medical infrared thermal imaging (MITI) is crucial because the number of medical experts in this area is highly limited.The current studies generally need manual intervention. One of the manual operations requires physician’s determination of the body part and orientation. In this study automatic pose and body part detection on