• Title/Summary/Keyword: 적외선 영상처리

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Design of Infrared Refractive Collimator for Reduce Narcissi Effect (나르시스현상 감소를 위한 적외선용 굴절식 시준기 설계)

  • Park, Sang-Woo;Kim, Jong-Jin;Won, Jea-Hak;Yun, Seok-Jae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.10a
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    • pp.712-715
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    • 2011
  • When simulate long distance infrared image in the laboratory the Infrared Refractive Collimator is used. In this case, infrared light reflected from the surface of the lens and target. The reflected infrared light causes Narcissus. Narcissus degrades the quality of the infrared image. To minimize Narcissus optimize the reflective index and placement of the lenses, lenses and target surface coated.

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Image Dehazing Algorithm Using Near-infrared Image Characteristics (근적외선 영상의 특성을 활용한 안개 제거 알고리즘)

  • Yu, Jae Taeg;Ra, Sung Woong;Lee, Sungmin;Jung, Seung-Won
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.11
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    • pp.115-123
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    • 2015
  • The infrared light is known to be less dependent on background light compared to the visible light, and thus many applications such as remote sensing and image surveillance use the infrared image. Similar to color images, infrared images can also be degraded by hazy weather condition, and consequently the performance of the infrared image-based applications can decrease. Nevertheless, infrared image dehazing has not received significant interest. In this paper, we analyze the characteristic of infrared images, especially near-infrared (NIR) images, and present an NIR dehazing algorithm using the analyzed characteristics. In particular, a machine learning framework is adopted to obtain an accurate transmission map and several post-processing methods are used for further refinement. Experimental results show that the proposed NIR dehazing algorithm outperforms the conventional color image dehazing method for NIR image dehazing.

A Method for evaluating the temperature coefficient of a compound semiconductor energy gap by infrared imaging technique (적외선 영상 기법에 의한 화합물 반도체 에너지 갭의 온도 계수 측정 방법)

  • Gang, Seong Jun
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.38 no.5
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    • pp.26-26
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    • 2001
  • 온도에 따른 반도체 에너지갭의 변화를 디지털 영상처리를 이용해 직접 측정하는 적외선 영상기법을 제안하고 있다. 본 방법은 반도체 에너지갭의 온도계수를 경제적이고 간단하게 평가할 수 있도록 한다. 본 기법의 핵심 구성 부품은 다색광원기(Polychromator), 프레임 그래버가 내장된 컴퓨터 및 가변 온도 저온유지장치(Cryostat)이다. 방법의 타당성을 검증하기 위해 LEC 방법으로 제조한 GaAs에 시험적으로 행한 실험은 온도 계수가 이론 모델에서 구한 값과 전반적으로 잘 일치함을 보여 주었다.

Thermal Infrared Image Enhancement Method Based on Retinex (Retinex 처리에 기반한 적외선 열상 이미지의 화질 개선)

  • Lee, Won-Seok;Kim, Kyoung-Hee;Lee, Sang-Won
    • 전자공학회논문지 IE
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    • v.48 no.2
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    • pp.32-39
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    • 2011
  • The output image of the uncooled thermal infrared camera is difficult the identification of target because of the limited dynamic range and the various noises. Retinex algorithm based on the theory of the human visual perception is known to be effective contrast enhancement technique. However, the image quality is insufficient when it is adopted to the narrow dynamic range image as the infrared image. In this paper, we propose the revised retinex algorithm to enhance the contrast of the infrared image. To improve the contrast enhancement performance, we designed the new dynamic range compression function instead of log function. To reduce the noise and compensate the loss of edge, we added the contrast compensation procedure in the MSR image generation process. According to the output picture comparing and numerical analysis, the proposed algorithm shows the better contrast enhancement performance and the more suitable method for the infrared image enhancement.

Development of Near Infrared Radiation Image Board for Performace Improvement of Grain Sorter (곡물선별기의 선별력 향상을 위한 근거리적외선 영상보드 개발)

  • Lee, Chae-Wook
    • Journal of the Institute of Convergence Signal Processing
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    • v.18 no.1
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    • pp.25-30
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    • 2017
  • Currently, most of the grain sorter uses CCD optic camera to find defective products. The aim of this paper is to use the CCD camera, and aim for improving the sorting power of the grain separator by using NIR(Near Infrared Radiation) sensor based on moisture content measurement algorithm. We intend to develop a system to develop an NFC imaging system in real time by developing an NIR imaging system and developing the grain sorter system that is considered to be defective in real time by checking the internal moisture content of the raw material in the real time.

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Relative Navigation for Autonomous Aerial Refueling Using Infra-red based Vision Systems (자동 공중급유를 위한 적외선 영상기반 상대 항법)

  • Yoon, Hyungchul;Yang, Youyoung;Leeghim, Henzeh
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.46 no.7
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    • pp.557-566
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    • 2018
  • In this paper, a vision-based relative navigation system is addressed for autonomous aerial refueling. In the air-to-air refueling, it is assumed that the tanker has the drogue, and the receiver has the probe. To obtain the relative information from the drogue, a vision-based imaging technology by infra-red camera is applied. In this process, the relative information is obtained by using Gaussian Least Squares Differential Correction (GLSDC), and Levenberg-Marquadt(LM), where the drouge geometric information calculated through image processing is used. These two approaches proposed in this paper are analyzed through numerical simulations.

Laser Signal Detection in Infrared Images Using Correlation Filter (코릴레이션 필터를 이용한 적외선영상에서의 레이저 신호 검출)

  • Si-Hyun-Mun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.868-869
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    • 2023
  • 보병이 레이저로 표적을 지시하고 원격사격통제체계가 타격하는 방식의 유무인 복합체계에서 전자광학 추적장비를 통한 표적지시용 레이저 검출은 필수적이다. 이를 위해 본 연구에서는 영상기반 코릴레이션 필터를 통해 적외선 레이저를 기존의 색상기반, 기계학습 등의 기법보다 효과적으로 검출하는 방법을 구현하였다. 또한 실험을 통해 주간에는 직사광선 노이즈를 효과적으로 제거하고 200mw 출력의 적외선 레이저를 10-20m 거리에서 검출, 노이즈가 없는 야간에는 100m 이상의 거리에서 안정적으로 검출하는 것을 확인하였다. 이를 통하여 원격사격통제체계의 전자광학 추적장비를 통한 표적지시 레이저 검출 및 추적 구현의 기반을 마련하였다.

A Frequency Spectrum Analysis based on FFT of Fire Thermal Image (FFT를 이용한 화재 열영상의 주파수 스펙트럼 분석)

  • Kim, Won-Ho;Jang, Bok-Gyu
    • Journal of the Institute of Convergence Signal Processing
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    • v.12 no.1
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    • pp.33-37
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    • 2011
  • This paper presents the frequency spectral analysis based on FFT of the infrared ray fire thermal image, it is an object to deduce the conditions for determining fire alarm through the image processing with the frequency domain. After the candidate regions are separated by using pre-defined brightness value, the fast fourier transform is performed for consecutive infrared thermal images, the frequency spectral analysis of the thermal image analyzed DC and AC frequency distribution. The fire criterion of the thermal image was presented based on the analyzed result and a practicality was confirmed through the computer simulation.

Electromagnetic Susceptibilty design of High-Speed Image Signal Processing Unit for Small Infrared Image Homing sensor (적외선 영상 호밍센서 고속 영상신호처리기의 전자기파 내성 설계)

  • Kim, Hong-Rak;Park, Jin-Ho;Kim, Kyoung-Il;Jeon, Hyo-won;Shin, Jung-Sub
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.2
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    • pp.27-33
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    • 2022
  • The small infrared image homing sensor is the eye of a guided weapon that has an infrared image sensor that identifies a target on the ground through day and night infrared image processing and searches, detects, and tracks the target. Inside the guided weapon since the power supply and communication line are used together with various components, the part against electromagnetic wave interference is very important. In particular, the effect of CE (Conducted Emission) through the power and communication lines connected by cables is very important. Through this method, it is possible to directly affect other components of the guided weapon. In this paper, the EMI filter and cable design for avoiding electromagnetic interference to the power input through the cable and the communication line are described. Also, the designed EMI filter is manufactured After the CE102 test of MIL-STD-461G, design satisfaction will be explained.

Infrared Image Segmentation by Extracting and Merging Region of Interest (관심영역 추출과 통합에 의한 적외선 영상 분할)

  • Yeom, Seokwon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.26 no.6
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    • pp.493-497
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    • 2016
  • Infrared (IR) imaging is capable of detecting targets that are not visible at night, thus it has been widely used for the security and defense system. However, the quality of the IR image is often degraded by low resolution and noise corruption. This paper addresses target segmentation with the IR image. Multiple regions of interest (ROI) are extracted by the multi-level segmentation and targets are segmented from the individual ROI. Each level of the multi-level segmentation is composed of a k-means clustering algorithm an expectation-maximization (EM) algorithm, and a decision process. The k-means clustering algorithm initializes the parameters of the Gaussian mixture model (GMM) and the EM algorithm iteratively estimates those parameters. Each pixel is assigned to one of clusters during the decision. This paper proposes the selection and the merging of the extracted ROIs. ROI regions are selectively merged in order to include the overlapped ROI windows. In the experiments, the proposed method is tested on an IR image capturing two pedestrians at night. The performance is compared with conventional methods showing that the proposed method outperforms others.