• Title/Summary/Keyword: 열화상영상

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Visualization of Khitan Scripts in Ancient Documents using Active Infrared Thermography (고문서 거란문자의 능동형 적외선 열영상 가시화)

  • Kim, Nohyu;Chung, Jaeyoung
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.2
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    • pp.329-336
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    • 2022
  • Unreadable Khitan scripts of ancient documents written by indian ink on parchment(sheepskin) are visualized by active infrared thermography without contacting and damaging the document which are deteriorated and aged presumably over many years. Sinusoidal infrared thermal wave using Halogen lamp is applied to the surface of the document in order to selectively magnify and record the thermal response of indian ink. The infrared image of the document captured in real time by infrared camera under the active external excitation shows the better sharpness and readability of Khitan characters than the optical image, from which many Khitan letters like ' ' and ' ' sounding as 'd' and 'ri' in English alphabet are detected and deciphered. It is concluded from the experiment that the active infrared thermography can be used as a promising method for digital reconstruction and preservation of ancient documents in the future.

Multiple Shortfall Estimation Method for Image Resolution Enhancement (영상 해상도 개선을 위한 다중 부족분 추정 방법)

  • Kim, Won-Hee;Kim, Jong-Nam;Jeong, Shin-Il
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.3
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    • pp.105-111
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    • 2014
  • Image resolution enhancement is a technique to generate high-resolution image through improving resolution of low-resolution obtained image. It is important to estimate correctly missing pixel value in low-resolution obtained image for image resolution enhancement. In this paper, multiple shortfall estimation method for image resolution enhancement is proposed. The proposed method estimate separate multiple shortfall by predictive degradation-restoration processing in sub-images of obtained image, and generate result image combining the estimated shortfall and interpolated obtained-image. Lastly, final reconstruction image is generated by deblurring of the result image. The experimental results demonstrate that the proposed method has the best results of all compared methods in objective image quality index: PSNR, SSIM, and FSIM. The quality of reconstructed image is superior to all compared methods, and the proposed method has better lower computational complexity than compared methods. The proposed method can be useful for image resolution enhancement.

Improvement Effects on Lock-in Thermography by Iterative Adaption in Optical Excitation (광학가진의 반복 정합에 의한 위상잠금 열화상 개선 효과)

  • Kim, Won Tae
    • Journal of the Korean Society for Nondestructive Testing
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    • v.33 no.4
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    • pp.376-381
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    • 2013
  • 위상잠금 열화상에서는 일반적으로 변조된 주파수의 광램프를 쓰고 있다. 하지만 램프의 광도 분포는 입력신호가 평단(flat)특성임에 불구하고 심지어 불균일하여 검사 시편내에 측면 열유동을 만들어낸다. 이러한 열유동은 원치 않는 효과로서 측면의 분해능을 감소시키는 등과 같이 관심 결함구조의 영상에 부정적인 영향을 미친다. 본 고에서 검토되는 방식은 열원으로서 LCD 프로젝터와 같은 것을 이용하여 각 가진픽셀에 개별적으로 진동진폭, 광도 오프셋, 위상지연 등을 할당하는 방법에 대한 접근기술이다. 이러한 반복적인 자체학습 과정에 의한 조명 패턴을 통하여 측면 열유동이 제거되고 분해능이 향상되도록 제공하는 것이다.

Need of Identity Recognition Using Thermal Image (열화상 카메라를 활용한 얼굴 변장 인식의 필요성)

  • Jun, Young-Min;Cheema, Usman;Moon, Seungbin
    • Annual Conference of KIPS
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    • 2018.10a
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    • pp.878-879
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    • 2018
  • 위 본문은 얼굴 변장인식의 필요성에 대해 언급을 하고 있다. 해당 논문은 얼굴 변장 인식의 기존의 연구 소개와 동시에 열화상 카메라로 촬영한 영상이 얼굴 변장 인식에 더욱 적합한 이유를 설명한다.

Performance Improvement of Human Detection in Thermal Images using Principal Component Analysis and Blob Clustering (주성분 분석과 Blob 군집화를 이용한 열화상 사람 검출 시스템의 성능 향상)

  • Jo, Ahra;Park, Jeong-Sik;Seo, Yong-Ho;Jang, Gil-Jin
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.2
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    • pp.157-163
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    • 2013
  • In this paper, we propose a human detection technique using thermal imaging camera. The proposed method is useful at night or rainy weather where a visible light imaging cameras is not able to detect human activities. Under the observation that a human is usually brighter than the background in the thermal images, we estimate the preliminary human regions using the statistical confidence measures in the gray-level, brightness histogram. Afterwards, we applied Gaussian filtering and blob labeling techniques to remove the unwanted noise, and gather the scattered of the pixel distributions and the center of gravities of the blobs. In the final step, we exploit the aspect ratio and the area on the unified object region as well as a number of the principal components extracted from the object region images to determine if the detected object is a human. The experimental results show that the proposed method is effective in environments where visible light cameras are not applicable.

Comparison and Analysis of Residual Heat Generation Surface Material (표면 재질에 따른 잔류 열 생성 비교 및 분석)

  • Lee, Kanghoon;Kim, Changseob;Park, Jong-Il
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2018.06a
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    • pp.139-140
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    • 2018
  • 본 논문에서는 열화상 카메라를 사용하는 손가락 인터페이스와 손을 사용하지 않는 인터페이스 연구에서 표면 재질에 따른 잔류 열 생성 차이를 비교하고 분석하고자 한다. 열화상 카메라를 사용하는 인터페이스는 사용자가 프로젝터의 투사 스크린으로 사용되는 표면에 잔류 열을 생성하면 그 잔류 열의 형상을 검출하여 상호작용 할 수 있도록 한다. 스크린으로 사용되는 표면은 활용되는 장소에 따라 표면의 재질이 다를 수 있다. 따라서 일상 환경에서 프로젝터의 투사 스크린으로 사용이 가능한 표면 재질에 따라 다양한 방법으로 잔류 열을 생성하고 잔류 열에 대한 분석이 필요하다. 본 논문에서는 스크린으로 사용될 수 있는 다양한 표면 재질을 선택하여 세 가지 방법으로 잔류 열을 생성하고 열화상 카메라로 촬영한 영상을 분석하였다.

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Calibration of Thermal Camera with Enhanced Image (개선된 화질의 영상을 이용한 열화상 카메라 캘리브레이션)

  • Kim, Ju O;Lee, Deokwoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.4
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    • pp.621-628
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    • 2021
  • This paper proposes a method to calibrate a thermal camera with three different perspectives. In particular, the intrinsic parameters of the camera and re-projection errors were provided to quantify the accuracy of the calibration result. Three lenses of the camera capture the same image, but they are not overlapped, and the image resolution is worse than the one captured by the RGB camera. In computer vision, camera calibration is one of the most important and fundamental tasks to calculate the distance between camera (s) and a target object or the three-dimensional (3D) coordinates of a point in a 3D object. Once calibration is complete, the intrinsic and the extrinsic parameters of the camera(s) are provided. The intrinsic parameters are composed of the focal length, skewness factor, and principal points, and the extrinsic parameters are composed of the relative rotation and translation of the camera(s). This study estimated the intrinsic parameters of thermal cameras that have three lenses of different perspectives. In particular, image enhancement based on a deep learning algorithm was carried out to improve the quality of the calibration results. Experimental results are provided to substantiate the proposed method.

Development of an intelligent camera for multiple body temperature detection (다중 체온 감지용 지능형 카메라 개발)

  • Lee, Su-In;Kim, Yun-Su;Seok, Jong-Won
    • Journal of IKEEE
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    • v.26 no.3
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    • pp.430-436
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    • 2022
  • In this paper, we propose an intelligent camera for multiple body temperature detection. The proposed camera is composed of optical(4056*3040) and thermal(640*480), which detects abnormal symptoms by analyzing a person's facial expression and body temperature from the acquired image. The optical and thermal imaging cameras are operated simultaneously and detect an object in the optical image, in which the facial region and expression analysis are calculated from the object. Additionally, the calculated coordinate values from the optical image facial region are applied to the thermal image, also the maximum temperature is measured from the region and displayed on the screen. Abnormal symptom detection is determined by using the analyzed three facial expressions(neutral, happy, sadness) and body temperature values. In order to evaluate the performance of the proposed camera, the optical image processing part is tested on Caltech, WIDER FACE, and CK+ datasets for three algorithms(object detection, facial region detection, and expression analysis). Experimental results have shown 91%, 91%, and 84% accuracy scores each.

An Experimental Study on the Detection Characteristic of Draft Ice by Thermography System (열화상 시스템에 의한 유빙의 탐지특성에 관한 실험적 연구)

  • Cho, Yong-Jin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.5
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    • pp.302-307
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    • 2017
  • Draft ice in polar regions is formed due to sea level changes and various environmental factors cause damage due to collision with offshore plants and ships for resource development. Drift ice in polar regions is a potential source of accidents for offshore plants that perform long-term operations in one place, as well as on the ship. To prevent accidents with drift ice, offshore plants and ships in polar regions use satellite image information and detection radar to detect drift ice. However, the inability to use visible satellite images at night significantly lowers the detection probability by radar for small drift ice. In this study, we used a thermal imaging system which can be operated day and night for the detection of drift ice, and carried out an experimental study on the detection characteristics of drift ice. To examine the night operation of the thermal imaging system, the experimental condition was set and the thermal image was measured according to the measurement angle change. Under this condition, the correlation was analyzed by theoretical calculating the radiant energy of the drift ice and the sea water.