Air Leak Localization Method Based on Infrared Thermography Using Local Gray-Entropy Difference Algorithm

2012 ◽  
Vol 233 ◽  
pp. 200-203
Author(s):  
He Hong Qin ◽  
Tao Wang ◽  
Wei Fan
Keyword(s):  
Infrared Thermography ◽  
Infrared Images ◽  
Thermal Camera ◽  
Air Leak ◽  
Localization Method ◽  
Entropy Information ◽  
Leak Localization ◽  
The Difference

A novel air leak diagnosis and localization method for vessels is proposed. The tempreture field around the leak changes during air inflation and deflation.The changing phenomenon is acquired by thermal camera and the best detecting time is confirmed by temperature curves.Then a local gray-entropy difference algorithm is used to identify the leak area from infrared images captured during inflation and deflation. The gray information of local gray-entropy enhances the difference between leak area and non-leak area largely meanwhile the entropy information of local gray-entropy improves robustness performance.Experiments verify that the leak localization method is effective and sensitive.

scholarly journals The use of infrared thermography for welfare assessment during the application of ear tags to lambs

2017 ◽  
Vol 60 (3) ◽  
pp. 297-302 ◽  
Author(s):  
Murat Karakuş ◽  
Ferda Karakuş
Keyword(s):  
Early Detection ◽  
Infrared Thermography ◽  
Behavioral Responses ◽  
Infrared Images ◽  
Thermal Camera ◽  
Inflammatory Reactions ◽  
Welfare Assessment ◽  
The Mean ◽  
The Right

Abstract. The aim of this study was to determine the effect of metal-tipped, plastic-tipped, and electronic ear tags on the likelihood of infection using infrared thermography and to evaluate the effect on welfare by examining the behavioral responses of the lambs. Ninety lambs with an average age of 6 months were used in this study. Before the application of the ear tags, infrared images of the right and left ears of the lambs were taken with the thermal camera and the infrared temperatures were recorded. Measurements were repeated on days 1, 4, 10, and 30 after the ear tag application. The mean of infrared ear temperatures on days 0, 1, 4, 10, and 30 were found to be 14.60, 23.20, 23.77, 20.36, and 17.61 °C for the metal-tipped ear tag group; 15.69, 21.50, 20.42, 18.00, and 16.39 °C for the plastic-tipped ear tag group; and 15.17, 29.47, 27.49, 25.93, and 20.61 °C for the electronic ear tag group. The infrared temperatures on days 1, 4, and 10 in the control and experimental groups were significantly different from each other (P < 0.001). The plastic-tipped ear tags caused fewer problems and are preferred to the traditional ear tags with metal tips. The electronic ear tags caused more inflammatory reactions compared to metal- or plastic-tipped ear tags. The infrared thermography method may be used as a useful tool in the early detection of the inflammatory reactions and infections caused by the application of ear tags.

Reflection interference removal for infrared thermography images based on GAN

2021 ◽  
Vol 63 (9) ◽  
pp. 529-533
Author(s):  
Jiali Zhang ◽  
Yupeng Tian ◽  
LiPing Ren ◽  
Jiaheng Cheng ◽  
JinChen Shi
Keyword(s):  
Neural Networks ◽  
Infrared Thermography ◽  
Metal Surfaces ◽  
Infrared Image ◽  
Infrared Camera ◽  
Infrared Images ◽  
Generative Adversarial Network ◽  
Adversarial Network ◽  
Continuous Application ◽  
Visible Images

Reflection in images is common and the removal of complex noise such as image reflection is still being explored. The problem is difficult and ill-posed, not only because there is no mixing function but also because there are no constraints in the output space (the processed image). When it comes to detecting defects on metal surfaces using infrared thermography, reflection from smooth metal surfaces can easily affect the final detection results. Therefore, it is essential to remove the reflection interference in infrared images. With the continuous application and expansion of neural networks in the field of image processing, researchers have tried to apply neural networks to remove image reflection. However, they have mainly focused on reflection interference removal in visible images and it is believed that no researchers have applied neural networks to remove reflection interference in infrared images. In this paper, the authors introduce the concept of a conditional generative adversarial network (cGAN) and propose an end-to-end trained network based on this with two types of loss: perceptual loss and adversarial loss. A self-built infrared reflection image dataset from an infrared camera is used. The experimental results demonstrate the effectiveness of this GAN for removing infrared image reflection.

Investigation of Bending Fatigue of Composite Plates by Using Infrared Thermography

2011 ◽  
Vol 268-270 ◽  
pp. 406-411 ◽  
Author(s):  
Ömer Sinan Şahin ◽  
Murat Selek ◽  
Şirzat Kahramanlı
Keyword(s):  
Infrared Thermography ◽  
Heat Generation ◽  
Temperature Rise ◽  
Epoxy Composite ◽  
Composite Plates ◽  
Fatigue Loading ◽  
Thermal Camera ◽  
Thermal Images ◽  
Bending Fatigue ◽  
Damage Initiation

In this study, the temperature rise of composite plates with a hole during fatigue loading was investigated. Woven glass/epoxy composite plates with eight plies were subjected to bending fatigue loading and materials were observed by using a thermal camera during the test. Previous works showed that a heat generation can form due to internal friction and damage formation. Therefore, a thermographic infrared imaging system was used to detect the temperature rise of composite specimens. During the tests, the thermal images of the specimens have been recorded by a thermal camera and then transferred to the image processing program which has been developed by using MATLAB. By using these thermal images, the spot temperatures of the specimen were obtained by using artificial neural networks. The obtained temperatures show local increase at places where the heat generation localized. These regions considered being the probable damage initiation sites. It is shown in this study that most probable damage initiation zones in the woven glass/epoxy composite material can be detected by using infrared thermography (IRT) approach prior to failure.

Udder skin surface temperature variation pre- and post- milking in dairy cows as determined by infrared thermography

2018 ◽  
Vol 85 (2) ◽  
pp. 201-203 ◽  
Author(s):  
Chunhe Yang ◽  
Gan Li ◽  
Xiaojun Zhang ◽  
Xianhong Gu
Keyword(s):  
Surface Temperature ◽  
Dairy Cows ◽  
Infrared Thermography ◽  
Sensitivity And Specificity ◽  
Milk Yield ◽  
Skin Surface ◽  
Optimal Time ◽  
Skin Surface Temperature ◽  
Infrared Images ◽  
Significant Difference

The objectives of the research reported in this Research Communication were to compare the variation of hind quarter skin surface temperature pre- and post- milking in dairy cows and to determine the optimal time to capture images by infrared thermography for improving the sensitivity and specificity of mastitis detection in dairy cows. Hind quarter infrared images of 102 Holstein dairy cows were captured from the caudal view by an infrared camera pre-milking and post-milking. The udder skin surface temperature was measured with the help of the image processing software. No significant difference was found between the left and right quarter skin surface temperature pre- and post- milking. The hind quarter skin surface temperature pre-milking was not significantly influenced by milk yield, but exhibited a rising trend along with the increase of milk yield. The hind quarter skin surface temperature post-milking was significantly influenced by milk yield. This leads us to conclude that the sensitivity and specificity of IRT in mastitis detection may be influenced by milk yield and it may be better to capture the infrared images of cow udders pre-milking.

scholarly journals Infrared Thermography Applied to Tree Health Assessment: A Review

Agriculture ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 156 ◽  
Author(s):  
Daniele Vidal ◽  
Rui Pitarma
Keyword(s):  
Infrared Thermography ◽  
Health Assessment ◽  
Structure Stability ◽  
Urban Greening ◽  
Tree Health ◽  
Health Inspection ◽  
The Difference ◽  
Inspection Techniques ◽  
Non Destructive ◽  
Living Being

The tree is a fundamental living being. It contributes to nature and climate behaviour, as well to urban greening. It is also a source of wealth and employment. Most tree health inspection techniques are invasive or even destructive. Infrared thermography (IRT) is not invasive, and it has shown advantages when applied for inspection to trees and wood to detect deterioration or voids that could compromise its structure, stability, and durability. This study reviews the literature about IRT applied to a tree health inspection. It is framed in the context of the importance of trees for the balance of ecosystems, and the different techniques to detect tree deterioration. It highlights the difference when applied to wood or trees and the main factors that have been proven to cause disturbances in the thermal pattern of trees. The IRT, as other non-destructive methods, does not distinguish what type of damage it is, nor its causative agent. However, it enables identifying healthy and deteriorated tissues. The technology is very promising since it reveals that is efficient, fast, economical, and sustainable.

scholarly journals The Feasibility of Identifying Defects Illustrated on Building Facades by Applying Thermal Infrared Images with Shadow

Proceedings ◽  
2019 ◽  
Vol 27 (1) ◽  
pp. 3
Author(s):  
Tsai ◽  
Huang ◽  
Tai
Keyword(s):  
Surface Temperature ◽  
Infrared Thermography ◽  
Infrared Camera ◽  
Thermal Infrared ◽  
Infrared Images ◽  
Building Facades ◽  
Thermal Infrared Images ◽  
Non Destructive

Infrared thermography (IRT) has been widely employed to identify the defects illustrated in building facades. However, the IRT covered with a shadow is hard to be applied to determine the defects shown in the IRT. The study proposed an approach based on the multiplicated model to describe quantitively the shadow effects, and the IRT can be segmented into few classes according to the surface temperature information recorded on the IRT by employing a thermal infrared camera. The segmented results were compared with the non-destructive method (acoustic tracing) to verify the correctness and robustness of the approach. From the processed results, the proposed approach did correctly identify the defects illustrated in building facades through the IRTs were covered with shadow.

scholarly journals Evaluation of the Clinical Efficacy of Using Thermal Camera for Cryotherapy in Patients with Total Knee Arthroplasty: A Prospective Study

Medicina ◽  
2019 ◽  
Vol 55 (10) ◽  
pp. 661 ◽  
Author(s):  
Zekeriya Okan Karaduman ◽  
Ozan Turhal ◽  
Yalçın Turhan ◽  
Zafer Orhan ◽  
Mehmet Arican ◽  
...  
Keyword(s):  
Total Knee Arthroplasty ◽  
Knee Arthroplasty ◽  
Postoperative Period ◽  
Thermal Camera ◽  
Prosthesis Infection ◽  
Total Knee ◽  
Group 3 ◽  
The Difference ◽  
Group 2 ◽  
Group 1

Background and objectives: Cryotherapy is a method of treatment using cold application. This study aimed to evaluate postoperative clinical and hematological parameters and pain associated with total knee arthroplasty in patients and compared cryotherapy to the conventional method of cold ice pack compressions. Materials and Methods: Between January 2015 and January 2016, 90 patients who underwent total knee arthroplasty for grade 4 gonarthrosis were prospectively evaluated. The patients were divided into three groups (n = 30, each): Group 1, cryotherapy was applied in the pre- and postoperative periods; Group 2, cryotherapy was applied only in the postoperative period; and Group 3 (control group), only a cold pack (gel ice) was applied postoperatively. In all groups, pre- and postoperative evaluations at 6, 24, and 48 h, hemorrhage follow-up, knee circumference measurement, visual analog scale pain score, knee circumference, and temperature measured by thermal camera were recorded. Results: Of the 90 patients, 10% were men and 90% were women. The mean age was 64.3 ± 8.1 (range: 46–83) years. The patella upper end diameter values were significantly lower in the postoperative period in Groups 1 and 2 than in Group 3 (p = 0.003). Hemoglobin levels at 24 and 48 h postoperatively were significantly lower in Group 3 than in Group 1 (p < 0.001, each) and Group 2 (p = 0.038, p < 0.001). At 6, 24, and 48 h follow-ups, pain values were significantly lower in Group 2 than in Group 3 (p < 0.001). Preoperative 6, 24, and 48 h temperature values were significantly lower in Group 1 than in Group 3 (p < 0.001 for each). It was found that the difference between preoperative and postoperative knee flexion measurements was significantly different in both groups or the difference between the groups was changed in each period (p < 0.001). Conclusions: Postoperative cryotherapy is a potentially simple, noninvasive option and beneficial for the reduction of reducing pain, bleeding, length of stay, analgesic requirement and swelling after total knee arthroplasty. Moreover, there was no early or late prosthesis infection in cryotherapy groups, which may be considered as an additional measure to prevent prosthesis infection.

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