• 반도체디스플레이기술학회지
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• 제14권4호
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• pp.50-55
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• 2015

This paper proposes a new histogram partition stretching and shrinking method for infrared image enhancement. The proposed method divides the histogram of an input image into three partitions according to its mean value and standard deviation. The method stretches both the dark partition and the bright partition of the histogram, while it shrinks the medium partition. As the result, both the dark part and the bright part of the image have more brightness levels. The proposed method is implemented using C language in an embedded Linux system for a high-speed real-time image processing. Experiments were conducted by using various infrared images. The results show that the proposed algorithm is successful for the infrared image enhancement.

• 한국컴퓨터정보학회논문지
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• 제23권12호
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• pp.27-33
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• 2018

In this paper, we propose an efficient edge preserving smoothing filter for Infrared image that can reduce noise while preserving edge information. Infrared images suffer from low signal-to-noise ratio, low edge detail information and low contrast. So, detail enhancement and noise reduction play crucial roles in infrared image processing. We first apply a guided image filter as a local analysis. After the filtering process, we optimization globally using relativity of guided image filter. Our method outperforms the previous methods in removing the noise while preserving edge information and detail enhancement.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 심포지엄 논문집 정보 및 제어부문
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• pp.57-59
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• 2005

In our study, the automatic tracking algorithm of a human face is proposed by utilizing the thermal properties and 2nd momented geometrical feature of an infrared image. First, the facial candidates are estimated by restricting the certain range of thermal values, and the spurious blobs cleaning algorithm is applied to track the refined facial region in an infrared image.

• 제어로봇시스템학회논문지
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• 제22권4호
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• pp.288-292
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• 2016

In this paper, we propose an infrared image based human victim recognition method for a search and rescue robot in dark environments, like general disaster situations. For recognizing a human victim, an infrared camera on a RGB-D camera, Microsoft Kinect, is used. The contrast and brightness of the infrared image are first improved by histogram equalization, and the noise on the image is removed by morphological operation and Gaussian filtering. For recognizing a human victim, the binarization and blob labeling methods are applied to the improved image. Finally, for verifying the effectiveness and feasibility of the proposed method, an experiment for human victim recognition is carried out in a dark environment.

• 한국컴퓨터정보학회논문지
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• 제9권1호
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• pp.63-70
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• 2004

본 논문에서는 자체적으로 개발된 항공기의 적외선 열상표적 시스템의 모델링, 설계, 성능시험 결과 등에 대하여 기술한다. 개발된 시스템은 적외선 형상과 강도를 제어할 수 있도록 설계되어서 적외선 형상과 방사되는 강도가 실물 항공기와 유사하다. 본 논문에서 제시한 기술을 적용한 결과 완전가동 상태에서 실물항공기의 적외선열상 이미지와 같은 열상을 만드는데 오직 30㎾정도의 전력만을 소비됨을 확인하였다 성능실행시험 후에는 표적적응유도시험. 유도조종 로직시험 등과 같은 성능평가시험 단계를 통하여 본 논문에서 개발된 적외선 열상표적을 휴대용 대공유도무기의 표적으로 실용화하였다.

• 융합신호처리학회논문지
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• 제11권1호
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• pp.9-12
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• 2010

본 논문은 재난 감시를 위한 디지털 미디어 프로세서 기반의 적외선 열화상 처리 시스템의 설계 및 구현에 대하여 기술한다. 디지털 열화상 처리 보드는 DM642 디지털 미디어 프로세서와 비디오 인코더, 비디오 디코더 상용 칩을 기반으로 설계하고 구현하였다. 또한, 재난 감시 기능은 적외선 열화상의 온도분포를 분석하고 화재발생과 같은 재난상황을 감시하는 알고리즘을 구현하였으며, 적외선 열화상 입력은 $320\;{\times}\;240\;{\mu}$-bolometer 타입의 적외선 열화상 카메라를 사용하였다. 구현된 시제품의 시험 평가 결과, 10 프레임/초의 처리 속도로 요구되는 적외선 열화상 분석과 화재 검출 기능이 잘 동작 하였으며 구현 시스템의 실용성을 확인하였다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 추계학술대회논문집B
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• pp.711-716
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• 2001

This paper presents an information about the heat transfer characteristics of impinging jet in eletronic equipment with infrared image processing unit. There have been many experimental investigations and theoretical studies on impinging jet because of application in a wide variety of industrial process including electronic equipment. In this study, we used infrared image processing unit to visualize heat transfer characteristics of impinging jet in electronic equipment. Infrared image processing unit is one of non-contact temperature measuring methods and it is possible to minimize flow resistance and this measurement is comparatively accurate. The main parameters are nozzle exit angle $(30^{\circ},\;45^{\circ},\;60^{\circ},\;75^{\circ},\;90^{\circ})$ and distance between nozzle and heat source is fixed 6d("d" is diameter of circular nozzle(10 mm). Reynolds number is 4500.

• 한국컴퓨터정보학회논문지
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• 제23권1호
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• pp.25-32
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• 2018

In this paper, we propose an edge detection algorithm for auto focus of infrared camera. We designed and implemented the edge detection of infrared image by using a spatial filter on FPGA. The infrared camera should be designed to minimize the image processing time and usage of hardware resource because these days surveillance systems should have the fast response and be low size, weight and power. we applied the $3{\times}3$ mask filter which has an advantage of minimizing the usage of memory and the propagation delay to process filtering. When we applied Laplacian filter to extract contour data from an image, not only edge components but also noise components of the image were extracted by the filter. These noise components make it difficult to determine the focus state. Also a bad pixel of infrared detector causes a problem in detecting the edge components. So we propose an adaptive edge detection filter that is a method to extract only edge components except noise components of an image by analyzing a variance of pixel data in $3{\times}3$ memory area. And we can detect the bad pixel and replace it with neighboring normal pixel value when we store a pixel in $3{\times}3$ memory area for filtering calculation. The experimental result proves that the proposed method is effective to implement the edge detection for auto focus in infrared camera.

• 대한방사선기술학회지:방사선기술과학
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• 제42권5호
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• pp.365-371
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• 2019

We have developed and applied a diagnostic Multi-Leaf Collimator (MLC) to optimized the X-ray field in medical imaging and the usefulness evaluated through the fusion of infrared image and X-ray image acquired by infrared camera. The hand and skull radiography with multi-leaf collimator(MLC) showed significant area dose reductions of 22.9% and 31.3% compared to ARC and leakage dose was compliant with KS A 4732. Also scattering doses of 50 cm and 100 cm showed a significant decrease to confirm the usefulness of MLC. It was confirmed that the fusion of infrared images with an adjustable degree of transparency was possible in the X-ray images. Therefore, fusion of anatomical information with physiological convergence is expected to contribute and improvement of diagnostic ability. In addition, the feasibility of convergence X-ray imaging and DITI devices and the possibility of driving MLC with infrared images were confirmed.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2003년도 춘계종합학술대회
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• pp.192-195
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• 2003

본 논문은 적외선 영상에 B-스플라인 웨이블릿 변환을 적용하여 의사컬러 이미지를 향상시킨 연구이다. 의사컬러 향상은 주파수 손실을 최소화하고 분해능을 향상시키기 위해 B-스플라인을 적용하였고, 웨이블릿 변환하여 RGB 영상을 추출하여 의사변환 하였다. B-스플라인 웨이블릿 변환은 일반적인 웨이블릿 변환에 비해 3dB이상 향상되었다.