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Technological,environmental and biological factors:referent variance values for Infrared imaging of the bovine

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Journal of Animal Science and Biotechnology 2015年第4期6卷 469-484页

作者： Yuri R.Montanholi Melissa Lim Alaina Macdonald Brock A.Smith Christy Goldhawk Karen Schwartzkopf-Genswein Stephen P.Miller Department of Animal and Poultry Science University of Guelph Department of Plant and Animal Sciences Dalhousie University Monsanto HeadingleyMB R3T 6E3Canada Agriculture and Agri-Food Canada Faculty of Veterinary Medicine University of Calgary Invermay Agricultural Centre AgResearch Limited

Background： Despite its variety of potential applications, the wide implementation of infrared technology in cattle production faces technical, environmental and biological challenges similar to other indicators of metabolic state. Nine trials, divided into three classes （technological, environmental and biological factors） were conducted to illustrate the influence of these factors on body surface temperature assessed through Infrared imaging. Results： Evaluation of technological factors indicated the following： measurements of body temperatures were strongly repeatable when taken within ]0 s; appropriateness of differing infrared camera technologies was influenced by distance to the target; and results were consistent when analysis of thermographs was compared between judges. Evaluation of environmental factors illustrated that wind and debris caused decreases in body surface temperatures without affecting metabolic rate; additionally, body surface temperature increased due to sunlight but returned to baseline values within minutes of shade exposure. Examination/investigation/exploration of animal factors demonstrated that exercise caused an increase in body surface temperature and metabolic rate. Administration of sedative and anti-sedative caused changes on body surface temperature and metabolic rate, and during late pregnancy a foetal thermal imprint was visible through abdominal Infrared imaging. Conclusion： The above factors should be considered in order to standardize operational procedures for taking thermographs, thereby optimizing the use of such technology in cattle operations.

关键词： Body heat loss Convective heat loss Infrared imaging Oxygen consumption Pharmacodynamics

Real-time three-dimensional Infrared imaging using fringe projection profilometry

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Chinese Optics Letters 2013年第14期11卷 47-50页

作者：左超陈钱冯世杰顾国华 Anand Asundi Jiangsu Key Laboratory of Spectral imaging & Intelligence Sense Nanjing University of Science and Technology Nanjing 210094 China Centre for Optical and Laser Engineering School of Mechanical and Aerospace Engineering Nanyang Technological University Singapore 639798 Singapore Key Laboratory of Photoelectronic Inmging Technology and System Ministry of Education of China Beijing Institute of Technology Beijing 100081 China

infrared thermography determines the surface temperature of an object or human body. It is a promising imaging technology for medical and biological observations due to its contactless and completely non- invasive properties. However, traditional two-dimensional （2D） infrared thermography cannot retain the spatial information, and thus provides only qualitative diagnosis information. A novel real-time three- dimensional （3D） Infrared imaging system which takes full advantages of high-speed, high-quality, high- sensitivity, and low-cost in 3D thermograph is presented. We demonstrate the real-time 3D thermal imaging at the speed of 24 frmnes per second （fps）, with resolution of 640 ×480 points. Experimental results demonstrate quantitatively measurement of temperature distribution of 3D surfaces in real-time is realized with this system.

关键词： 110.0110 imaging systems 110.3080 Infrared imaging 110.6880 Three-dimensional image acquisition

Measured overall effusion cooling effectiveness over a wide blowing ratio range using Infrared imaging

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航空动力学报 2010年第7期25卷 1454-1463页

作者： ZHANG Chi SONG Bo LIN Yu-zhen XU Quan-hong LIU Yan National Key Laboratory of Science and Technology on Aero-Engines School of Jet Propulsion Beijing University of Aeronautics and Astronautics Beijing 100191 China Jiangsu Chinfan Compressor Incorporation Changshu Economic Development Zone Jiangsu 215513 China China North Vehicle Research Institute China North Industries Group Corporation Beijing 100072 China

Experimental investigations were performed on the overall cooling effectiveness η of a flat effusion wall over a wide range of blowing ratio(M=0.47～5.27).The effusion wall had a staggered multi-hole pattern typical of gas turbine combustor application,with a ratio of hole pitch to row spacing P/S=1∶2,a porosity PS/d2=72,and an inclination angle α=30°.The current paper documented distribution of the overall cooling effectiveness on the wall surface,based on Infrared imaging of the 2-D surface temperature field.Experimental results indicate:(1) The overall η increases along with the streamwise distance for the wide range of M due to the superposition effect of the multi-row film cooling.(2) The overall η substantially benefits from the multi-hole inside convective cooling.The hole convective cooling not only complements the weakest film protection at initial rows but also helps mitigate the temperature gradient.(3) The overall η increases asymptotically with increasing M,unlike adiabatic η mostly published in the past,which decreased after M reached a specific level.The current work showcased the end cooling outcome jointly driven by the filming cooling mechanism and the hole inside convective cooling mechanism.

关键词： gas turbine effusion cooling overall cooling effectiveness blowing ratio Infrared imaging

An efficient method for monitoring the shunts in silicon solar cells during fabrication processes with Infrared imaging

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Journal of Semiconductors 2009年第7期30卷 152-155页

作者：张陆成许欣翔杨灼坚孙小菩许红云刘浩斌沈辉 Institute for Solar Energy Systems Sun Yat-Sen University China Southern Glass Holding PVTech Co. Ltd.

In order to monitor the fabrication process, an Infrared imaging system was established to detect the shunted regions in crystalline silicon solar cells.The temperature of the shunted region was obviously higher than that of the non-shunted region when the cell was biased under direct voltage due to the Joule heat effect, and the shunted region could be detected by Infrared imaging.The shunts caused by seven different reasons can be identified using metallurgical microscopy, scanning electron microscopy, and energy dispersive X-ray spectroscopy.Approaches for diminishing shunts are presented.The methods are beneficial for the optimization of the cell fabrication processes and the improvement of the cell performances.

关键词： silicon solar cell shunt Infrared imaging

Deep Learning Method and Infrared imaging as a Tool for Transformer Faults Detection

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Journal of Electrical Engineering 2018年第2期6卷 98-106页

作者： Dragan Mlakic Srete Nikolovski Ljubomir Majdandzic Distribution Company Electric Power Company HZ-HB lnc. Mostar Vilenicka bb 72295 Novi Travnik Bosnia and Herzegovina Computer Science and Information Technology Faculty of Electrical Engineering J. J. Strossmayer University K. Trpimira 2 BOsijek Croatia Environmental Protection and Energy Efficiency Fund Radnicka cesta 80 Zagreb 10000 Croatia

In behaviour recognition, the development of the DL (Deep Learning) method introduced massive improvements in the field of artificial intelligence, where DL represents an upgrade of the present ANN (artificial neural network) architecture. Deep Learning as a comprehensive new field of artificial intelligence completely covers the neural networks architecture that is devised to carry out certain forms of identification, such as behaviour, forms of things, trends, similarities in complex forms, etc. Regarding thermography in energy, the cases used to illustrate this are photographs of active energy components in the plant. Failures that are seen with thermography cannot be recognized by other methods. However, an expert needs to do segmentation of focusing and classification of failures. The need for daily sampling and expert work is growing. With the DL method, it can be done in real time any time. One of the popular network architectures for using DL in image analysis is the recognition algorithm-CNN (convolution neural network). Traditional artificial intelligence methods require determining factors and computations, leading to training algorithm. Machine learning has important features as well as the right weight to make decisions about new input data. This work presents DL as a flexible and adaptive method for the analysis of thermal images of energy facilities, as well as a tool used for the construction and implementation of an efficient fault analysis on the 10/0.4 kV service transformer.

关键词： DL electric components transformers Infrared imaging photograph analysis CNN

Design of electric business hall monitoring system based on Infrared imaging

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Design of electric business hall monitoring system based on ...

Gas Diffusion Optic Flow Calculation and Its Applications in Gas Cloud Infrared imaging

第30届中国控制与决策会议

作者： Bo Hu Hongxing Liu Jun Liu Mingyi Li Yi Wang State Grid Liaoning Electric Power Supply Co. Ltd.Anshan Power Supply Company

In order to achieve high quality service, obtain customer trust and loyalty, establish and maintain a good relationship between enterprises and customers, power business hall imaging system using infrared detection technology, combined with efficient electricity business hall real-time status monitoring system to achieve accurate tracking of staff and supervision as well as real-time control of user-side conditions. The experimental results show that compared with the traditional video technology, the monitoring system of power business hall based on Infrared imaging has good electromagnetic compatibility and electrical isolation performance, high reliability and no influence of light conditions in the practical application, and the accuracy exceeds 98%. Therefore, based on Infrared imaging of electricity business hall monitoring system is suitable for business offices, stations and other crowded places to ensure that the monitoring within the highly efficient and accurate.

关键词： Power business hall Infrared imaging Monitoring system Real time monitoring

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Gas Diffusion Optic Flow Calculation and Its Applications in...

Comparison of Color Fundus Photography, infrared Fundus Photography, and Optical Coherence Tomography in Detecting Retinal Hamartoma in Patients with Tuberous Sclerosis Complex

国防光电子论坛第二届新型探测技术及其应用研讨会

作者： Liu Shao-hua Luo Xiu-li Wang Ling-xue Cai Yi Key Laboratory of Photoelectric imaging Technology and System Beijing Institute of Technology Academy of ordnance science

Motion detection frequently employs Optic Flow to get the velocity of solid targets in imaging sequences. This paper suggests calculate the gas diffusion velocity in infrared gas leaking videos by optic flow algorithms. Gas target is significantly different from solid objects, which has variable margin and gray values in diffusion. A series of tests with various scenes and leakage rate were performed to compare the effect of main stream methods, such as Farneback algorithm, PyrLK and BM algorithm. Farneback algorithm seems to have the best result in those tests. Besides, the robustness of methods used in uncooled Infrared imaging may decline seriously for the low resolution, big noise and poor contrast ratio. This research adopted a special foreground detection method(FDM) and spectral filtering technique to address this issue. FDM firstly computes corresponding sample sets of each pixel, and uses the background based on the sets to make a correlation analysis with the current frame. Spectral filtering technique means get two or three images in different spectrum by band pass filters, and show a better result by mixing those images. In addition, for Optic Flow methods have ability to precisely detect directional motion and to ignore the nondirectional one, these methods could be employed to highlight the gas area and reduce the background noise. This paper offers a credible way for obtaining the diffusion velocity and resolves the robust troubles in practical application. In the meanwhile, it is an exploration of optic flow in varied shape target detection.

关键词： Infrared imaging Optic flow gas leakage diffusion velocity spectral filtering

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Chinese Medical Journal 2016年第10期129卷 1229-1235页

作者： Da-Yong Bai Xu Wang Jun-Yang Zhao Li Li Jun Gao Ning-Li Wang Department of Ophthalmology Beijing Children's Hospital Capital Medical University Beijing 100045 China Beijing Institute of Ophthalmology Beijing Tongren Eye Center Beijing Tongren Hospital Capital Medical University Beijing Ophthalmology and Visual Science Key Laboratory Beijing 100730 China Department of Neurology Beijing Children's Hospital Capital Medical University Beijing 100045 China Department of Radiology Beijing Children's Hospital Capital Medical University Beijing 100045 China

Background： A sensitive method is required to detect retinal hamartomas in patients with tuberous sclerosis complex （TSC）. The aim of the present study was to compare the color fundus photography, Infrared imaging （IFG）, and optical coherence tomography （OCT） in the detection rate of retinal hamartoma in patients with TSC. Methods： This study included 11 patients （22 eyes） with TSC, who underwent color fundus photography, IFG, and spectral-domain OCT to detect retinal hamartomas. TSC1 and TSC2 mutations were tested in eight patients. Results： The mean age of the 11 patients was 8.0 ± 2.1 years. The mean spherical equivalent was -0.55 ±1.42 D by autorefraction with cycloplegia. In 11 patients （22 eyes）, OCT, infrared fundus photography, and color fundus photography revealed 26, 18, and 9 hamartomas, respectively. The predominant hamartoma was type I （55.6%）. All the hamartomas that detected by color fundus photography or IFG can be detected by OCT. Conclusion： Among the methods of color fundus photography, IFG, and OCT, the OCT has higher detection rate for retinal hamartoma in TSC patients; therefore, OCT might be promising for the clinical diagnosis of TSC.

关键词： Fundus Photography Hamartoma Infrared imaging Optical Coherence Tomography Tuberous Sclerosis Complex

Model-based deep learning for fiber bundle infrared image restoration

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Defence Technology(防务技术) 2023年第9期27卷 38-45页

作者： Bo-wen Wang Le Li Hai-bo Yang Jia-xin Chen Yu-hai Li Qian Chen Chao Zuo Jiangsu Key Laboratory of Spectral imaging and Intelligent Sense Nanjing University of Science and TechnologyNanjingJiangsu Province210094China Smart Computational imaging(SCI)Laboratory Nanjing University of Science and TechnologyNanjingJiangsu Province210094China Science and Technology on Electro-Optical Information Security Control Lab Tianjin300308China

As the representative of flexibility in optical imaging media,in recent years,fiber bundles have emerged as a promising architecture in the development of compact visual systems.Dedicated to tackling the problems of universal honeycomb artifacts and low signal-to-noise ratio(SNR)imaging in fiber bundles,the iterative super-resolution reconstruction network based on a physical model is proposed.Under the constraint of solving the two subproblems of data fidelity and prior regularization term alternately,the network can efficiently“regenerate”the lost spatial resolution with deep learning.By building and calibrating a dual-path imaging system,the real-world dataset where paired low-resolution(LR)-high-resolution(HR)images on the same scene can be generated simultaneously.Numerical results on both the United States Air Force(USAF)resolution target and complex target objects demonstrate that the algorithm can restore high-contrast images without pixilated noise.On the basis of super-resolution reconstruction,compound eye image composition based on fiber bundle is also embedded in this paper for the actual imaging requirements.The proposed work is the first to apply a physical model-based deep learning network to fiber bundle imaging in the infrared band,effectively promoting the engineering application of thermal radiation detection.

关键词： Fiber bundle Deep learning Infrared imaging Image restoration