• International Journal of Control, Automation, and Systems
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• 제3권1호
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• pp.130-136
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• 2005

A new optical digitizing system for determining the position of a cursor in three dimensions(3D) and an experimental device for its measurement are presented. A semi-passive system using light intensity modulation, a technology that is well known in radar ranging, is employed in order to overcome precision limitations imposed by background light. This system consists of a charge-coupled device camera placed before a rotating mirror and a light-emitting diode whose intensity is modulated. Using a Fresnel pattern for light modulation, it is verified that a substantial improvement of the signal to noise ratio is realized for the background noise and that a resolution of less than a single pixel can be achieved. This opens the doorway to the realization of high precision 3D digitized measurement. We further propose that a 3D position measurement with a monocular optical system can be realized by a numerical experiment if a linear-period modulated waveform is adopted as the light-modulating one.

• 한국광학회지
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• 제9권1호
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• pp.38-46
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• 1998

본 연구에서는 바탕화면의 색도와 휘도의 영향을 고려한 색재현 방법을 제안하고 이를 Panasonic사의 BT-H1450 모니터를 대상으로 실시하여 보았다. 바탕 화면의 영향을 무시한 경우 Macbeth ColorChecker 24색에 대해 재현된 색과 원래 색의 평균 ${\Delta}E_{ab}^{*}$가 9.0 이상이었는데 비해, 바탕 화면의 휘도와 색도의 영향을 고려한 보정 알고리즘을 사용한 결과 평균 ${\Delta}E_{ab}^{*}$가 1.0이하로 되었다. 본 연구 결과로 CRT 디스플레이 색재현에 있어서 바탕 화면의 색도와 휘도가 정확도에 큰 영향을 미침을 알 수 있었다.

• 천문학회보
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• 제35권2호
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• pp.52.1-52.1
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• 2010

The Japanese infrared (IR) space mission AKARI monitored the brightness in the fields very close to the north ecliptic pole (NEP) with nine wavebands in Infrared Camera (IRC), which cover the wavelength range from 2 to $24{\mu}m$. We reduced the NEP monitor observations and examined the smoothness of the sky background brightness. Our analysis shows that the background brightness is smooth over a frame of about $10'\times10'$ within about 0.1% deviation in mid-IR. Because the zodiacal light (ZL) and emission (ZE) dominate the diffuse sky brightness in the near- and mid-IR wavelengths, the background brightness varies with season through a year. We tried sinusoidal fittings to the observed NEP background brightness. The fitting analysis shows that the sine function is successful in describing the seasonal variation of the ZL and ZE within 2% deviations from the observed brightness, especially for the 15, 18, and $24{\mu}m$ bands, within 0.3%. These results will provide limits and caveats for the studies of the cosmic infrared background radiation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권12호
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• pp.4292-4307
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• 2021

For the research field of night infrared surveillance video, the target imaging in the video is easily affected by the light due to the characteristics of the active infrared camera and the classical ViBe algorithm has some problems for moving target extraction because of background misjudgment, noise interference, ghost shadow and so on. Therefore, an improved ViBe algorithm (I-ViBe) for moving target extraction in night infrared surveillance video is proposed in this paper. Firstly, the video frames are sampled and judged by the degree of light influence, and the video frame is divided into three situations: no light change, small light change, and severe light change. Secondly, the ViBe algorithm is extracted the moving target when there is no light change. The segmentation factor of the ViBe algorithm is adaptively changed to reduce the impact of the light on the ViBe algorithm when the light change is small. The moving target is extracted using the region growing algorithm improved by the image entropy in the differential image of the current frame and the background model when the illumination changes drastically. Based on the results of the simulation, the I-ViBe algorithm proposed has better robustness to the influence of illumination. When extracting moving targets at night the I-ViBe algorithm can make target extraction more accurate and provide more effective data for further night behavior recognition and target tracking.

• 정보과학회 컴퓨팅의 실제 논문지
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• 제22권3호
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• pp.133-138
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• 2016

실시간 동작영역 검출 알고리즘의 차영상 기법은 배경프레임을 이용한 방식과 이전프레임을 이용한 방식으로 구분된다. 배경프레임을 이용한 방식은 사전에 분석한 배경정보를 기반으로 정확한 동작영역을 검출할 수 있는 방법이다. 하지만 배경정보가 변경될 경우 정보갱신이 요구되므로, 실시간 응용분야에 제한적이다. 이전프레임을 이용한 방식은 현재프레임과 시차간격이 존재하는 이전프레임을 취득하여 동작의 윤곽선을 검출한다. 하지만 실제 윤곽선과 오차를 보여 보정이 필요하다는 단점을 가지고 있다. 본 논문이 제안하는 3 way-diff 알고리즘은 프레임 제작과정 중 발생되는 반사된 빛 영역과 차영상 기법을 이용해 동작의 윤곽선을 구하므로, 기존 방식들에 배경의존성 및 부정확성을 보완한다. 다중 차영상 기법 및 비트단위의 AND 연산으로 수행되며, 이 과정으로 배경프레임을 이용한 방식의 정확성과 이전프레임을 이용한 방식의 환경적응력을 융합하며 노이즈의 발생을 감소시킨다. 또한 제안하는 기법의 성능은 CASIA의 Gait 데이터베이스 샘플을 이용해 각 기법에 대한 성능평가로 증명한다.

• 대한의용생체공학회:의공학회지
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• 제14권1호
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• pp.63-72
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• 1993

In this paper, the effect of background grey levels on the visual perception of target image displayed on CRT monitor has been investigated. The purpose of this study is to investigate the efficacy of CRT monitor as a display medium of image Information especially in medical imaging field. Tllree sets of experiments have been performed in this study : the first was to measure the luminance response of CRT monitor and to find the best fitting equation, and the second was the psychophysical experiment measuring the threshold grey level differences between the target image and the background required for visual discrimination (or various background grey levels, and the third was to develop a visual model that is predictable of the threshold grey level difference measured in the psychophysical experiment. The result of psycophysical experiment shows that the visual perception performance is significantly degraded in the range of grey levels lower than 50, which is turned out due to she low luminance change of CRT monitor in this range while human eye has been adapted lo relatively bright ambient illumination. And it Is also shown in the simulation study using the developed visual model that the dominant factor degrading the visual performance is the reflected light from the monitor surface by ambient light in general illumination condition.

• 한국멀티미디어학회논문지
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• 제21권9호
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• pp.1044-1051
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• 2018

In this paper, we propose a new method to improve low light image. In order to improve the image quality of a night image with a moving object as much as the quality of a daytime image, the following tasks were performed. Firstly, we reduce the noisy of the input night image and improve the night image by the tone mapping method. Secondly, we segment the input night image into a foreground with motion and a background without motion. The motion is detected using both the difference between the current frame and the previous frame and the difference between the current frame and the night background image. The background region of the night image takes pixels from corresponding positions in the daytime image. The foreground regions of the night image take the pixels from the corresponding positions of the image which is improved by the tone mapping method. Experimental results show that the proposed method can improve the visual quality more clearly than the existing methods.

• 제어로봇시스템학회논문지
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• 제21권12호
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• pp.1122-1129
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• 2015

This paper suggests a method of detecting traffic lights for vehicles by combining the HSV(hue saturation value) color model, morphometric characteristics, and location information appearing on consecutive images in daytime. In order to detect the traffic light, the color corresponding to the signal lights should be explored. It is difficult to detect traffic lights among colors of lights from buildings, taillight of cars, leaves, placards, etc. The proposed algorithm searches for the traffic lights from many candidates using morphometric characteristics and location information in consecutive images. The recognition process is divided into three steps. The first step is to detect candidates after converting RGB channel into HSV color model. The second step is to extract the boundaries between the housing of traffic lights and background by exploiting the assumption that the housing has lower brightness than the surrounding background. The last step is to recognize the signal light after eliminating the false candidates using morphometric characteristics and location information appearing on consecutive images. This paper demonstrates successful detection results of traffic lights from various images captured on the city roads.

• 조명전기설비학회논문지
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• 제21권4호
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• pp.11-18
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• 2007

A moving object detection algorithm for surveillance video is here proposed which employs background initialization based on two-stage median filtering and a background updating method based on state transition diagram. In the background initialization, the spatiotemporal similarity is measured in the subinterval. From the accumulated difference between the base frame and the other frames in a subinterval, the regions affected by moving objects are located. The median is applied over the subsequence in the subinterval in which regions share similarity. The outputs from each subinterval are filtered by a two-stage median filter. The background of every frame is updated by the suggested state transition diagram The object is detected by the difference between the current frame and the updated background. The proposed method showed good results even for busy, crowded sequences which included moving objects from the first frame.

• 한국광학회지
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• 제33권6호
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• pp.252-259
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• 2022

투과 매트릭스 방법을 이용하여 다중모드 광섬유 출력단에서 빛의 세기 분포를 제어하는 연구를 수행하였다. 공간 빛 변조기를 이용하여 원형으로 배치된 Hadamard 고유모드 위상분포를 실험적으로 구현하고, 네 가지 위상 값 변조 방법을 통하여 다중모드 광섬유의 투과 매트릭스를 실험적으로 도출하였다. 도출한 투과 매트릭스를 기반으로 광섬유에 입사하는 빛에 공간적인 위상 분포를 사전에 적용함으로써 광섬유 출력단의 원하는 위치에 빛을 집속하고자 하였다. 다중모드 광섬유 출력단 코어의 특정 위치에서 주변 배경 신호 대비 최대 359.6배 큰 세기로 빛을 집속할 수 있었으며 다중모드 광섬유 코어 영역 전반에 걸쳐 평균적으로 104.6배 향상된 값으로 빛을 집속할 수 있었다.