• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.10
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• pp.1234-1239
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• 2019

This paper proposes a method for measuring fine dust concentration through digital processing of images captured by only existing CCTVs without additional equipment. This image processing algorithm consists of noise reduction, edge sharpening, ROI setting, edge strength calculation, and correction through HSV conversion. This algorithm is implemented using the C ++ OpenCV library. The algorithm was applied to CCTV images captured over a month. The edge strength values calculated for the ROI region are found to be closely related to the fine dust concentration data. To infer the correlation between the two types fo data, a trend line in the form of a power equation is established using MATLAB. The number of data points deviating from the trend line accounts for around 12.5%. Therefore, the overall accuracy is about 87.5%.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.6
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• pp.185-192
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• 2022

Multimodal medical image fusion (MMIF) fuses two images containing different structural details generated in two different modes into a comprehensive image with saturated information, which can help doctors improve the accuracy of observation and treatment of patients' diseases. Therefore, a method based on double-layer decomposer and fine structure preservation model is proposed. Firstly, a double-layer decomposer is applied to decompose the source images into the energy layers and structure layers, which can preserve details well. Secondly, The structure layer is processed by combining the structure tensor operator (STO) and max-abs. As for the energy layers, a fine structure preservation model is proposed to guide the fusion, further improving the image quality. Finally, the fused image can be achieved by performing an addition operation between the two sub-fused images formed through the fusion rules. Experiments manifest that our method has excellent performance compared with several typical fusion methods.

• Proceedings of the KAIS Fall Conference
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• 2003.06a
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• pp.284-287
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• 2003

본 논문은 시각 장애인을 위해 양면 인쇄된 점자를 스캐너를 통해서 읽어 들인 후, 영상 내의 잡음과 같은 미세 정보를 제거하는 전처리과정을 거친다 스캔한 영상을 임계값을 이용한 클리핑으로 이진영상을 만든 후 영상의 특징을 추출한다. 추출된 특징은 점자의 앞면과 뒷면으로 분류할 수 있다. 점자 앞면의 특징이 아래반원으로 나타나며 이러한 특징을 이용한 검출필터를 만들어 점자의 앞면만을 추출해낸다. 영상을 각각 수직방향, 수평방향으로 투영시켜 점자영상 분할을 위한 거리를 계산, 자간격과 줄간격을 구해 ½되는 지점에 선을 그어 분할한다. 분할된 점자 형태소를 낱자로 인식한다.

• Journal of Korea Multimedia Society
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• v.5 no.2
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• pp.147-157
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• 2002

Noise in image sequences is visually offensive and may mask important image detail. In addition to degradation of visual quality, the noise pattern increases the entropy of the image, and thus hinders effective compression. This paper proposes a spatial and a temporal joint filters to reduce the noise by jointly connecting two adaptive noise reducers with different characteristics, and we also propose an IIR-type 3D noise reduction litter scheme connecting the spatial and the temporal joint filters. The proposed 3D IIR filter not only strongly removes noise in uniform image regions while preserving edges and details but also effectively suppresses temporal flicker caused by noise. Experimental results show that the proposed scheme improves subjective quality as well as objective quality as compared with the various noise filtering techniques.

• Journal of the Korean Society of Radiology
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• v.81 no.3
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• pp.488-500
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• 2020

Accumulating evidence suggests that Alzheimer's disease (AD) is not only caused by accumulation of abnormal proteins, including amyloid and tau, but is also closely associated with abnormalities in the microvascular environment including the blood-brain barrier (BBB), both of which lead to neuroinflammation and neurodegeneration. Application of in vivo magnetic resonance imaging (MRI) has recently increased to assess BBB permeability in AD and related diseases. Here, we provide a narrative review of BBB permeability-related pathology in Alzheimer dementia and recent MRI research on BBB permeability changes in AD and related diseases. Furthermore, we briefly introduce the measurement of BBB permeability using MRI and its methodological issues.

• 한국가시화정보학회:학술대회논문집
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• 2003.11a
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• pp.83-86
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• 2003

Synchrotron X-ray micro imaging technique was employed to non-invasively monitor the water flow inside xylem vessels in a bamboo leaf. The phase contrast X-ray images clearly visualized plant anatomy and the rise of a water front inside the vessels. Consecutive X-ray images taken for 60 seconds revealed water rise kinetics against gravity in the xylem of a cut dry leaf taken from a bamboo tree. For the first time, traces of water rise, variation of contact angle between water and xylem wall as well as the internal structure of xylem were obtained. In xylem vessels, a repeating flow pattern has a typical flow velocity of $30.7{\mu}m/s$ and faster flow is established intermittently. It is concluded that the transmission type of X-ray micro imaging can be used as a powerful tool to investigate the ascent of sap in the xylem vessels at a resolution higher than that of MRI.

• Proceedings of the KSME Conference
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• 2004.04a
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• pp.1693-1696
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• 2004

Synchrotron X-ray micro-imaging technique was employed to monitor non-invasively the refilling process of water inside the xylem vessels in bamboo leaves. The consecutive phase-contrast X-ray images clearly show both plant anatomy and the transport of water inside the xylem vessels. Traces of water-rise, vapor bubbles and variations of contact angle between the water front and the xylem wall were measured in real time. During the refilling process, air bubbles are removed when the rising water front halts at a vessel end for a while. Subsequently, it starts rising again at a higher velocity than the normal refilling speed. Repeated cavitation seems to deteriorate the refilling ability in xylem vessels. In dark environment, the water refilling process in xylem vessels is facilitated more effectively than in bright illuminated conditions. Finally, X-ray micro-imaging was famed to be a powerful, high resolution, real time imaging tool to investigate the water refilling process in xylem vessels.

• Anatomy & Biological Anthropology
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• v.31 no.4
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• pp.133-142
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• 2018

3D histology is a imaging system for the 3D structural information of cells or tissues. The synchrotron radiation propagation phase contrast micro-CT has been used in 3D imaging methods. However, the simple phase contrast micro-CT did not give sufficient micro-structural information when the specimen contains soft elements, as is the case with many biomedical tissue samples. The purpose of this study is to develop a new technique to enhance the phase contrast effect for soft tissue imaging. Experiments were performed at the imaging beam lines of Pohang Accelerator Laboratory (PAL). The biomedical tissue samples under frozen state was mounted on a computer-controlled precision stage and rotated in $0.18^{\circ}$ increments through $180^{\circ}$. An X-ray shadow of a specimen was converted into a visual image on the surface of a CdWO4 scintillator that was magnified using a microscopic objective lens(X5 or X20) before being captured with a digital CCD camera. 3-dimensional volume images of the specimen were obtained by applying a filtered back-projection algorithm to the projection images using a software package OCTOPUS. Surface reconstruction and volume segmentation and rendering were performed were performed using Amira software. In this study, We found that synchrotron phase contrast imaging of frozen tissue samples has higher contrast power for soft tissue than that of non-frozen samples. In conclusion, synchrotron radiation propagation phase contrast cryo-microCT imaging offers a promising tool for non-destructive high resolution 3D histology.

• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.349-352
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• 2000

영상으로부터 의미있는 객체를 영역화하기 위하여, 움직임에 의한 시간적 정보를 이용하거나, 형태학적(Morphological) 기법과 같이 공간적 정보를 이용하는 방법이 있다. 그러나, 단지 시간적 정보나 공간적 정보만을 이용하는 방법은 그 한계를 가지고 있으며, 본 논문에서는 시공간 정보를 이용하여 분할하는 방법을 채택하였다. 시간적 분할에서는, 두 프레임에서 움직임 정보를 찾아내었던 기존 방법을 보완하여 연속되는 세 프레임을 사용하도록 하였다. 이렇게 하면 움직임이 미세한 영상에 대해서도 객체를 분리해 낼 가능성을 높일 수 있게 된다. 공간적 분할시에는, Watershed 알고리즘을 이용하는 형태학적 분할(Morphological Segmentation)[1][2]을 하게 되는데, 전처리 과정의 단일척도경사(Monoscale Gradient) 대신 다중척도 경사(Multiscale Gradient)[3][4]를 사용하여 미세한 경사는 누그러뜨리고 에지 부분의 경사만을 강조하게 하였다. 또한 개선된 Watershed 알고리즘을 제안하여 기존의 Watershed 알고리즘의 과분할 문제를 보완하였다.

• Journal of Broadcast Engineering
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• v.7 no.4
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• pp.345-354
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• 2002

In this paper, we introduce a new scanning method for MPEG-4 AVC based Fine Granular Scalable video coding that can significantly improve the subjective picture quality of a decoded scalable video. The proposed scanning method can guarantee the subjectively improved picture qualify of the decoded scalable video by encoding, transmitting and decoding the visually important region most-preferentially. From the simulation results, it has been found that the proposed scanning method can lead the FGS method to achieve significantly improved picture quality, especially on the region of interests.