• 제목/요약/키워드: Infrared images

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Ultrasound Thermography Technique for Detecting Micro Defects in Vehicle Engine Block (자동차 엔진블럭의 미세크랙 검출을 위한 초음파 서모그래피 기법에 관한 연구)

  • Kim, Sung Hyun;Kim, Jae Yeol;Choi, Seung Hyun
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.37 no.4
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    • pp.443-446
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    • 2013
  • An infrared thermography technique can be used to inspect a large area simultaneously and to detect defects such as cracks or delaminations in real time. Infrared thermography is a technique in which visual images are formed from the infrared range from subjects according to their thermal radiation. The molecules of all objects are disturbed by heat, and the molecular motion becomes more active when the temperature rises and less active when the temperature falls. In this study, the applicability and feasibility of ultrasound thermography for detecting defects in an engine block, which is a key component in the automobile industry, were verified. A nondestructive reliability test was conducted to study the defects, after which the results were analyzed.

Real-time Small Target Detection using Local Contrast Difference Measure at Predictive Candidate Region (예측 후보 영역에서의 지역적 대비 차 계산 방법을 활용한 실시간 소형 표적 검출)

  • Ban, Jong-Hee;Wang, Ji-Hyeun;Lee, Donghwa;Yoo, Joon-Hyuk;Yoo, Seong-eun
    • Journal of Korea Society of Industrial Information Systems
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    • v.22 no.2
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    • pp.1-13
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    • 2017
  • In This Paper, we find the Target Candidate Region and the Location of the Candidate Region by Performing the Morphological Difference Calculation and Pixel Labeling for Robust Small Target Detection in Infrared Image with low SNR. Conventional Target Detection Methods based on Morphology Algorithms are low in Detection Accuracy due to their Vulnerability to Clutter in Infrared Images. To Address the Problem, Target Signal Enhancement and Background Clutter Suppression are Achieved Simultaneously by Combining Moravec Algorithm and LCM (Local Contrast Measure) Algorithm to Classify the Target and Noise in the Candidate Region. In Addition, the Proposed Algorithm can Efficiently Detect Multiple Targets by Solving the Problem of Limited Detection of a Single Target in the Target Detection method using the Morphology Operation and the Gaussian Distance Function Which were Developed for Real time Target Detection.

Observation of the Cold-air Drainage and Thermal Belt Formation in a Small Mountainous Watershed by Using an Infrared Imaging Radiometer (적외선 영상 복사계를 이용한 산간집수역의 찬공기 배수와 온난대 형성 관측)

  • Yun, Jin-I.
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.13 no.2
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    • pp.79-86
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    • 2011
  • Cold-air drainage and pooling occur in most mountain valleys at night. Local climates with cold-air pooling could affect phenology and distribution of crop plants. A high resolution infrared imaging radiometer was used to visualize the cold-air drainage and thermal belt formation over a small mountainous watershed (ca. $10{\times}5{\times}1$ km for the maximum length${\times}$width${\times}$depth). Thermal images on $640{\times}480$ pixels were scanned across the Akyang valley (south of Mt. Jiri National Park) by the radiometer installed at a local peak ('Hyongjebong', 1,117 m a.s.l.) at dawn of 17 May 2011, when the synoptic condition was favorable for the surface cooling and cold-air drainage. Major findings are: (1) Cold-air drainage and accumulation was clearly identified by the lowest brightness temperature mainly at the valley bottom. (2) So-called 'thermal belt' with higher brightness temperature was found partway up the valley sidewalls and showed up to $5^{\circ}C$ departure from the valley bottom temperature. (3) Digital thermography showed feasibility for validation of the high definition geospatial temperature models currently in use for the plot-specific agrometeorological service.

Flame Detection Using Haar Wavelet and Moving Average in Infrared Video (적외선 비디오에서 Haar 웨이블릿과 이동평균을 이용한 화염검출)

  • Kim, Dong-Keun
    • The KIPS Transactions:PartB
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    • v.16B no.5
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    • pp.367-376
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    • 2009
  • In this paper, we propose a flame detection method using Haar wavelet and moving averages in outdoor infrared video sequences. Our proposed method is composed of three steps which are Haar wavelet decomposition, flame candidates detection, and their tracking and flame classification. In Haar wavelet decomposition, each frame is decomposed into 4 sub- images(LL, LH, HL, HH), and also computed high frequency energy components using LH, HL, and HH. In flame candidates detection, we compute a binary image by thresholding in LL sub-image and apply morphology operations to the binary image to remove noises. After finding initial boundaries, final candidate regions are extracted using expanding initial boundary regions to their neighborhoods. In tracking and flame classification, features of region size and high frequency energy are calculated from candidate regions and tracked using queues, and we classify whether the tracked regions are flames by temporal changes of moving averages.

Measure Radiation and Correct Radiation in IR camera Image (적외선 카메라를 이용한 복사량 계측 및 교정 연구)

  • Jeong, Jun-Ho;Kim, Jae-Hyup
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.4
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    • pp.57-67
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    • 2015
  • The concept of detection and classification of objects based on infrared camera is widely applied to military applications. While the object detection technology using infrared images has long been researched and the latest one can detect the object in sub-pixel, the object classification technology still needs more research. In this paper, we present object classification method based on measured radiant intensity of objects such as target, artillery, and missile using infrared camera. The suggested classification method was verified by radiant intensity measuring experiment using black body. Also, possible measuring errors were compensated by modelling-based correction for accurate radiant intensity measure. After measuring radiation of object, the model of radiant intensity is standardized based on theoretical background. Based on this research, the standardized model can be applied to the object classification by comparing with the actual measured radiant intensity of target, artillery, and missile.

Applying tilt mechanism for high-resolution image acquisition (고해상도 영상 획득을 위한 틸트 메커니즘 적용 기법)

  • Song, Chun-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.12
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    • pp.31-37
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    • 2014
  • In this paper, to compensate the degraded performance in high-resolution infrared sensor due to assembling error, the influence of each component was evaluated through the sensitivity analysis of lens assembly, axis mirror, and detector and also suggested detector tilt mechanism for compensation. 3 detector tilt mechanisms were investigated. The first one is 'Shim plate' method which is applying shim on installing plane. The second one is 'Tilting screw' method that is using tilt screw for adjusting detection plane. The last one is 'Micrometer head' method that is installing micrometer on detection plane and acquiring quantitative data. Based on the investigation result, 'Tilting screw' method was applied due to ease of user control, small volume, and real-time controllability, thereby we could acquire high-resolution infrared images. The research result shows that the tilting mechanism is necessary technology for the implementation of high-resolution infrared imaging system.

Survey of Globular Clusters with the AKARI FIS for the Intracluster Dusts

  • Pyo, Jeong-Hyun;Jeong, Woong-Seob;Kim, Eun-Hyeok;Lee, Myung-Gyoon;Hong, Seung-Soo
    • The Bulletin of The Korean Astronomical Society
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    • v.35 no.1
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    • pp.52.2-52.2
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    • 2010
  • In search of the intracluster dusts, we have made a survey of globular clusters (GCs) with the Far-Infrared Surveyor (FIS) aboard AKARI, the Japanese infrared space satellite. The GCs are thought to host dust particles that are condensed from the material injected by the cluster asymptotic giant branch (AGB) stars. However, attempts to detect dust emission from GCs had not been successful until a significant amount of far-infrared (FIR) emission was detected close to the NGC 7078 center by the ISO observations (Evans et al. 2003). Recent FIR observations by the AKARI (Matsunaga et al. 2008) and the Spitzer Space Telescope (Boyer et al. 2006; Barmpy et al. 2009) reported a tentative detection of the dusts in NGC 5024 and NGC 6341, and also confirmed the previous ISO dust detection from NGC 7078. We have observed 17 selected GCs in four FIS wavebands at 65, 90, 140, and 160 micrometers. Each observation covers about $10'{\times}10'$ area centered at each GC. The resulting images show extended structures and/or blobs around the GCs. The extended structures are very suggestive of the Galactic cirrus, while the blobs around NGC 288 and NGC 4833 seem to be related to the two clusters. In this presentation, we will report four representative cases of our survey results and discuss the properties of newly detected sources.

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STUDY ON STATISTICAL ESTIMATION OF IRRADIANT CONTRAST (통계적 방법을 이용한 적외선 신호 대비값 계산 방법 연구)

  • Han, K.I.;Choi, J.H.;Ha, N.K.;Jang, H.S.;Lee, S.H.;Kim, D.G.;Kim, T.K.
    • Journal of computational fluids engineering
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    • v.22 no.1
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    • pp.37-42
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    • 2017
  • Infrared signals are frequently used to detect objects exposed to wide variety of environmental conditions. Detection by infrared signature is accomplished by distinguishing objects by using the IR radiant contrast between objects and the background. There are several methods of estimating the IR radiant contrast. The inverse distance weighting method, which is one of the IR radiant contrast estimation method using the effect of distance from objects, is known to be an effective way to analyze radiant contrast for complex backgrounds. However this method has a disadvantage of requiring a long calculation time. In this study we propose a statistical method of estimating the IR radiant contrast by using randomly selected pixels of arbitrary number among background pixels to reduce calculation time. Some measured IR images in MWIR and LWIR regions are used to test the applicability of the method proposed and we found that the proposed method is very effective in determining the IR radiant contrast showing very rapid estimation with minar accuracy loss.

Experimental Demonstration of Enhanced Transmission Due to Impedance-matching Si3N4 Layer in Perforated Gold Film

  • Park, Myung-Soo;Yoon, Su-Jin;Hwang, Je-Hwan;Kang, Sang-Woo;Kim, Deok-kee;Ku, Zahyun;Urbas, Augustine;Lee, Sang Jun
    • Proceedings of the Korean Vacuum Society Conference
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    • 2014.02a
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    • pp.359-359
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    • 2014
  • In this study, surface plasmon resonance structures for the selective and the enhanced transmission of infrared light were designed. In order to relieve the large discontinuity of refractive index between air and metal hole array, $Si_3N_4$ was used as the impedance matching layer. Experimental parameter were calculated and determined in advance by the rigorous coupled wave analysis (RCWA) simulation, and then the experiment was carried out. A 2-dimensional metal hole array structures were patterned on the size of $1{\times}1cm^2$ GaAs substrate using photolithography process, and 5 nm thick Ti, 50 nm thick Au were deposited by E-beam evaporator, respectively. Subsequently, $Si_3N_4$ films with various thicknesses (150, 350, 550, and 750 nm) were deposited by plasma enhanced chemical vapor deposition (PECVD). For the comparison, transmittance of specimens with and without $Si_3N_4$ was measured using Fourier transform infrared spectroscopy (FTIR) in the range of $2.5-15{\mu}m$. Furthermore, the surface and the cross-sectional images were collected from the specimens by scanning electron microscopy (SEM). From the results, it was demonstrated that the transmittance was enhanced up to 80% by the deposition of 750 nm $Si_3N_4$ at $6.23{\mu}m$. It has advantage of enhanced transmission despite the simple fabrication process.

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Investigation of Frozen Rock Failure using Thermal Infrared Image (열적외선영상을 이용한 동결된 암석의 파괴특성 연구)

  • Park, Jihwan;Park, Hyeong-Dong
    • Tunnel and Underground Space
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    • v.25 no.2
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    • pp.144-154
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    • 2015
  • Mechanical energy is accumulated in the object when stress is exerted on rock specimens, and the failure is occurred when the stress is larger than critical stress. The accumulated energy is emitted as various forms including physical deformation, light, heat and sound. Uniaxial compression strength test and point load strength test were carried out in low temperature environment, and thermal variation of rock specimens were observed and analyzed quantitatively using thermal infrared camera images. Temperature of failure plane was increased just before the failure because of concentration of stress, and was rapidly increased at the moment of the failure because of the emission of thermal energy. The variations of temperature were larger in diorite and basalt specimens which were strong and fresh than in tuff specimens which were weak and weathered. This study can be applied to prevent disasters in rock slope, tunnel and mine in cold regions and to analyze satellite image for predicting earthquake in cold regions.