• Clinical and Experimental Reproductive Medicine
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• 제20권1호
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• pp.19-29
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• 1993

Plasminogen activator (PA)-plasmin system in follicular fluid is involved in the process leading to follicular rupture at ovulation. It is well known that PA is closely associated with cellular differentiation and tissue remodeling on evidences from the study of normal and malignant tissues. This study was designed to ascertain a potential role of PA in the ovarian folliculogenesis. Immature Sprague-Dawley rats were injected with pregnant mare serum gonadotropin, followed by injection of serine protease inhibitor (SPI; mixture of 1 mol/L benzamidine and 1 mol/L amino-caproic acid) into the unilateral ovarian bursa. In the control study, mechanical effect of bursal injection and contralateral ovarian effect SPI were ruled out. Total antral follicular areas relative to total ovarian cross-sectional areas was siginificantly lower in SPI-injected ovary than in saline-injected ovary. SPI injection decreased the relative antral follicular area by 33 % respectively. Electron microscopic finding of granulosa cell in the atretic follicle showed the presence of pyknotic nucleus, blurring of neucleolemma, degeneration of mitochondria and dilation of endoplasmic reticulum. After induction of ovulation with hCG, the number of oocytes released was significantly decreased in SPI-injected oviduct than in saline-injected oviduct. From above results, author discussed that PA may play a role not only in ovulation but also in some processes of folliculogenesis.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2005년도 추계종합학술대회
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• pp.403-406
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• 2005

The purpose of this paper is to propose ways to remove false color noise (FCN) generated during de-mosaicing on RGB Bayer pattern images. In case of images sensors adapting Bayer pattern color filters array (CFA), de-mosaicing is conducted to recover the RGB color data in single pixels. Here, FCN phenomena would occur where there is clearer silhouette or contrast of colors. The FCN phenomena found during de-mosaicking process appears locally in the edges inside the image and the proposed method of eliminating this is to convert RGB color space to YCbCr space to conduct smoothing process. Moreover, for edges where different colors come together, censoring based smoothing technique is proposed as a way to minimize color blurring effect.

• 한국실내디자인학회논문집
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• 제13권4호
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• pp.83-91
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• 2004

This study focuses on defining the new meaning of immateriality in the present times expressed on space. The purposes of this study were to examine the characteristics of immateriality showed in commercial interior design in Korea, based on the definition of immateriality concept and the analysis of the way it is expressed. The result of this study is as follows; it categorized characteristic of material expression, space concept and media. Characteristic elements can be classified into 6: transparency, implication, off-gravitation, ambiguity of boundary, temporality, interactivity. Expression of immateriality in commercial interior space was obtained in many different ways, which are identified: new expression of material by reduction of materiality, leveling of transparency, expression of floating status, changeable image, illusion effect, blurring boundary. Immateriality is deeply associated with the elements such as surface, material, media, light, and movement. So it is being recognized as an important design concept in today's pluralist society and will play an important role within the design paradigms for the future.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 하계종합학술대회 논문집(5)
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• pp.211-214
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• 2002

Under a continuous manufacturing process, two dimension inspection system causes problems as blurring effect and low resolution and requires position calibration between frames. One dimension inspection system is, therefore, being researched as a substitution. In this paper, we implement mechanism of switching memory and processing data for reasonable one dimension inspection system. Redundant weft image and noise was suggested to be reduced by new method using modified morphological process and masked erosion process. From resulting image, line data and possible error information were obtained and constructed as a structure. Finally, error detecting algorithm was performed with this data structure. Processing time of error detecting was 0.625ms per line in applied system and experiment showed 94.7% of error detecting ability. This method is 20% faster in speed and 2.7% higher in error detecting ability comparing with the present method.

• 대한의용생체공학회:의공학회지
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• 제12권4호
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• pp.295-302
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• 1991

In this paper, the inter- and intra-frame distortions in the gray levels of a series of fluorescein ocular fundus photographs are corrected. For doing this, the background images are extracted from original images using the image blurring effect by decimation, and then shading corrected images are obtained by subtracting the background images from the original images pixel by pixel. In a series of fluorescein ocular fundus photographs, after the gray scale distoriton is corrected, the intensity volumes of dye leakage are measured and represented by a graph. These data may be useful for the prediction of prognosis and the therapeutic management.

• 한국컴퓨터그래픽스학회논문지
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• 제11권1호
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• pp.8-12
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• 2005

본 연구에서는 영상에 간단한 공간 필터를 적용하여 연필 해칭 효과를 갖는 영상을 만들어 내는 방법을 제안한다. 해칭 스타일의 톤 생성을 위하여 모션 블러링을 이용해서 입력 영상에 방향성을 주고, 샤프닝과 블러링으로 연필 해칭 효과를 만들어 낸다. 이렇게 만들어진 영상은 영상 전체에 같은 방향으로 해칭한 것 같은 효과를 가진다. 모션 블러링을 각기 다른 방향으로 적용한 영상들을 합성하면 크로스 해칭의 효과를 만들 수 있다. 여기에 소벨 필터를 사용해서 원본 영상의 에지를 검출해서 함께 합성하여 해칭을 이용한 연필화를 생성한다.

• Journal of Information Processing Systems
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• 제17권2호
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• pp.411-425
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• 2021

In this paper, a vehicle recognition algorithm based on deep convolutional neural network and compression dictionary is proposed. Firstly, the network structure of fine vehicle recognition based on convolutional neural network is introduced. Then, a vehicle recognition system based on multi-scale pyramid convolutional neural network is constructed. The contribution of different networks to the recognition results is adjusted by the adaptive fusion method that adjusts the network according to the recognition accuracy of a single network. The proportion of output in the network output of the entire multiscale network. Then, the compressed dictionary learning and the data dimension reduction are carried out using the effective block structure method combined with very sparse random projection matrix, which solves the computational complexity caused by high-dimensional features and shortens the dictionary learning time. Finally, the sparse representation classification method is used to realize vehicle type recognition. The experimental results show that the detection effect of the proposed algorithm is stable in sunny, cloudy and rainy weather, and it has strong adaptability to typical application scenarios such as occlusion and blurring, with an average recognition rate of more than 95%.

• 천문학회보
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• 제43권1호
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• pp.72.2-72.2
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• 2018

The Opposition Effect (OE) is an enhancement of the brightness of a reflecting light as the phase angle (the Sun-target-observer angle) approaches zero. The mechanisms have been studied both theoretically and experimentally and nowadays recognized that there are two major mechanisms, namely, coherent backscattering OE (CBOE) and shadow hiding OE (SHOE). From data analyses of an S-type asteroid Itokawa taken with the Hayabusa spacecraft onboard camera, it is suggested that the CBOE would be dominant at phase angle smaller than ~ 1.4 deg, while SHOE dominates at larger phase angles (M. Lee & M. Ishiguro, under review). The study on the physical parameters which affect the OE, such as size and composition, will lead us to find a way to disentangle each of them from observation. The experiments in lab, however, faces two major difficulties: (a) the detector blocks the incident light if phase angle is nearly zero and (b) incident and emission angles must be controlled with high angular resolution to prevent blurring of OEs at different phase angles in one measurement. In this presentation, we introduce a new apparatus which has been installed at Seoul National University to investigate the OE in our lab, and summarize the initial results. It will be a valuable starting point to establish infrastructure in Korea, and will shed light on the investigation of OE physics using laboratory simulants.

• 한국컴퓨터정보학회논문지
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• 제13권1호
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• pp.125-133
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• 2008

모션 블러란 카메라나 촬영대상의 움직임에 의해서 화소가 혼합되어 이미지의 경계가 흐려지는 현상을 말한다. 촬영 순간 카메라와 촬영 대상간의 상대적 움직임에 의해 촬영된 이미지에는 움직인 방향으로 모션 블러가 발생할 수 있다. 촬영 대상들이 서로 다른 속도로 이동하면 지역적으로 다양한 크기의 모션 블러가 발생할 수 있다. 이러한 지역적으로 다양한 모션 블러가 발생한 이미지를 복원하기 위해서는 지역적으로 다양한 블러의 크기를 추출해야만 한다. 본 논문에서는 지역적으로 다양한 모션 블러가 발생된 이미지로부터 RATS(Robust Automatic Threshold Selection)를 이용하여 지역적으로 다양한 블러의 크기를 각 지역별로 추출하는 새로운 방법을 제안한다. 또한 이전 방법과의 비교 실험을 통해 성능을 검증한다.

• 대한전자공학회논문지SP
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• 제37권3호
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• pp.11-16
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• 2000

본 논문에서는 미세주사장치를 이용하는 이차원배열 적외선 검출기의 불균일 출력특성 보정을 위한 배경 신호 기반의 디지털방식 실시간 보정 기법을 제안한다 기존의 배경기반 불균일 보정 알고리즘은 영상의 움직임을 전제로 하가 때문에 정지영상에 적용하는 경우 영상이 흐려지면서 사라지는 현상이 나타난다 제안된 기법에서는 미세주사 효과와 변형된 Scribner의 알고리즘을 이용하여 이러한 문제점을 해결하고 영상의 불균일을 실시간으로 보정하였다 컴퓨터 모의실험과 하드웨어 시험을 통해 제안된 기법은 동영상뿐만 아니라 정지영상에서도 뛰어난 성능을 보임을 입증하였다.