• Title/Summary/Keyword: 명암특성

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A Paleogenetic Analysis of Human Skeletal Remains from the Myeongam-ri Site, Asan in Korea (아산 명암리 출토 인골의 고유전학적 연구)

  • Jee, Sang-Hyun;Kim, Yun-Ji;Chung, Yong-Jae;Seo, Min-Seok;Pak, Yang-Jin
    • Journal of Conservation Science
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    • v.23
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    • pp.81-93
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    • 2008
  • The analysis of ancient DNA (aDNA) in paleogenetics has become an increasingly important subject of archaeological, anthropological, biological as well as public interest. In this study, paleogenetic analyses were carried out on the human skeletal remains from a historical cemetery site in Myeongam-ri, Asan, Korea. Archaeological records show that this particular location had been used as a habitation or mortuary site as early as the Bronze Age and up until the Joseon Dynasty. Human remains of twenty individuals out of forty-nine tombs from the Goryeo to Joseon Dynasty were selected for the analysis of this study. In order to identify the genealogy of the population and traditional burial pattern of the cemetery, we conducted comparative analyses of the hyper variable regions (HVRs) in mitochondrial DNA (mtDNA) of each sample. A number of cautious steps were taken at all experimental stages in order to avoid erroneous recombination by the segmental and modern contaminations derived from the researchers. We sequenced segmental amplicons of HVRs andassigned relevant haplogroups according to the sequence polymorphism on the basis of the known mtDNA database. The result shows that diverse haplogroups were unexpectedly present in the small population group of the Myeongam-ri site. This diversity appears to be related to the geographical conditions and archaeological properties of the Myeongam-ri site.

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An Effective Extraction Algorithm of Pulmonary Regions Using Intensity-level Maps in Chest X-ray Images (흉부 X-ray 영상에서의 명암 레벨지도를 이용한 효과적인 폐 영역 추출 알고리즘)

  • Jang, Geun-Ho;Park, Ho-Hyun;Lee, Seok-Lyong;Kim, Deok-Hwan;Lim, Myung-Kwan
    • Journal of Korea Multimedia Society
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    • v.13 no.7
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    • pp.1062-1075
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    • 2010
  • In the medical image application the difference of intensity is widely used for the image segmentation and feature extraction, and a well known method is the threshold technique that determines a threshold value and generates a binary image based on the threshold. A frequently-used threshold technique is the Otsu algorithm that provides efficient processing and effective selection criterion for choosing the threshold value. However, we cannot get good segmentation results by applying the Otsu algorithm to chest X-ray images. It is because there are various organic structures around lung regions such as ribs and blood vessels, causing unclear distribution of intensity levels. To overcome the ambiguity, we propose in this paper an effective algorithm to extract pulmonary regions that utilizes the Otsu algorithm after removing the background of an X-ray image, constructs intensity-level maps, and uses them for segmenting the X-ray image. To verify the effectiveness of our method, we compared it with the existing 1-dimensional and 2-dimensional Otsu algorithms, and also the results by expert's naked eyes. The experimental result showed that our method achieved the more accurate extraction of pulmonary regions compared to the Otsu methods and showed the similar result as the naked eye's one.

A study on the polarization transmission characteristics of liquid crystal display devices by means of Berreman's $4{\times}4$ matrix method (베레만의 $4{\times}4$행렬방식을 이용한 액정표시소자의 편광투과특성 분석)

  • Yang, Byeong-Kwan;Kim, Gyu-Seok;Rho, Bong-Gyu;Kim, Jin-Seung;Par, Hee-Gap;Park, Chan;Lee, Hyong-Jong;Kim, Jae-Ki
    • Korean Journal of Optics and Photonics
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    • v.8 no.3
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    • pp.223-229
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    • 1997
  • A source code is developed on the basis of Berreman's 4$\times$4 matrix formalism for the analysis of polarization transmission characteristics of twisted nematic liquid crystal display. By using the program, the polarization transmission characteristics of liquid crystal cells and polarizers are analyzed. For a normally white twisted nematic liquid crystal cell, we obtained a family of iso-contrast contours which helps to understand the viewing angle characteristics of the liquid crystal display device by using the cell. The program also help us to understand the variation of the degree of polarization as well as the deviation of the state of polarization of the light transmitted through the polarizer commonly used in the LCD according to the change in incidence angle. This result suggests the contrast of the images appearing on the LCD can be limited by the characteristics of the polarizer in addition to the liquid crystal cell.

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Watermarking Text Document Images Using Edge Direction Histograms (에지 방향 히스토그램을 이용한 텍스트 문서 영상의 워터마킹)

  • 김영원;문경애;오일석
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.10c
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    • pp.601-603
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    • 2002
  • 이 논문은 명암(grayScale)을 갖는 텍스트 문서 영상을 위한 새로운 워터마킹 알고리즘을 제안한다. 텍스트 문서 영상을 여러 블록으로 나누었을 때, 블록 영상들의 에지 방향 히스토그램이 유사하다는 부분 영상의 일관성이라는 특성을 갖는다. 이러한 특성을 이용하여 블록의 에지 방향 히스토그램을 조작하여 신호를 삽입한다. 다양한 공격에 대한 실험을 통하여 알고리즘의 강인성과 비인지성을 분석하였다.

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Convergence research of low-light image enhancement method and vehicle recorder (영역 분할과 로컬 히스토그램을 이용한 저조도 환경의 영상 향상 방법과 차량 블랙박스 융합)

  • Hwang, Woo-Sung;Choi, Myung-Ryul
    • Journal of the Korea Convergence Society
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    • v.7 no.6
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    • pp.1-6
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    • 2016
  • In this paper, we propose an image enhancement method for vehicle recorder by dividing the images into sub-images and finding local histograms of the sub-images. The proposed method includes the following steps. Firstly, the input image is divided into ($N{\times}M$) pieces. And the sub-images are used to make groups using the adjacent piece-images (eg. piece-imagei,j, piece-imagei,j+1, piece-imagei+1,j and piece-imagei+1,j+1). Secondly, the contrast enhancement processes are executed using the local histogram of the sub-images. Finally, overall image is reconstructed by using a transfer function that reflects the characteristics of the sub-image. The proposed method might achieve more enhanced images for vehicle recorder by suppressing excessive image contrast.

Automatic Liver Segmentation by using Gray Value Portion in Enhanced Abdominal CT Image (조영제를 사용한 복부CT영상에서 명암값 비율을 이용한 간의 자동 추출)

  • Yu, Seung-Hwa;Jo, Jun-Sik;No, Seung-Mu;Sin, Gyeong-Suk;Park, Jong-Won
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.2
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    • pp.179-190
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    • 2001
  • In this proposed study, observing and analyzing contrast enhanced abdominal CT images, we segmented the liver automatically. We computed the ratio of each gray value from the estimated gray value range. With the average value of mesh image, we distinguished the liver from the noise parts. We divided the region based on immersion simulation. The threshold value is determined from the mesh image which is generated from each gray value portion of the liver and is used in dividing the liver to the noise region. To get the outline of the liver, we generated template image which represents the lump of the liver, and subtracted it from the binary image. With the results we use the proposed algorithm using 8-connectivity instead of the present opening algorithm, to reduce the processing time. We computed the volume from the segmented organ size and presented a clinical demonstration with the animal experiment

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Face Recognition Robust to Brightness, Contrast, Scale, Rotation and Translation (밝기, 명암도, 크기, 회전, 위치 변화에 강인한 얼굴 인식)

  • 이형지;정재호
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.40 no.6
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    • pp.149-156
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    • 2003
  • This paper proposes a face recognition method based on modified Otsu binarization, Hu moment and linear discriminant analysis (LDA). Proposed method is robust to brightness, contrast, scale, rotation, and translation changes. Modified Otsu binarization can make binary images that have the invariant characteristic in brightness and contrast changes. From edge and multi-level binary images obtained by the threshold method, we compute the 17 dimensional Hu moment and then extract feature vector using LDA algorithm. Especially, our face recognition system is robust to scale, rotation, and translation changes because of using Hu moment. Experimental results showed that our method had almost a superior performance compared with the conventional well-known principal component analysis (PCA) and the method combined PCA and LDA in the perspective of brightness, contrast, scale, rotation, and translation changes with Olivetti Research Laboratory (ORL) database and the AR database.

Segmentation and Volume Calculation through the Analysis of Blurred Gray Value from the Brain MRI (뇌의 MR 영상에서 번짐 현상의 명암 값 분석을 통한 백질과 회백질의 추출 및 체적 산출)

  • Sung, Yun-Chang;Yoo, Seung-Wha;Song, Chang-Jun;Park, Jong-Won
    • Journal of KIISE:Software and Applications
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    • v.27 no.8
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    • pp.815-826
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    • 2000
  • This study is for the segmentation and volume calculation of the white matter and gray matter from brain MRI. In general, the volume of white and gray matter is reduced by contraction of each components in the case of mental retardation which are Alzheimer's disease and Down's syndrome. As results, it is useful for diagnostic and early detection for various mental retardation through the tracing of variation for its volume from the brain MRI. But, until now, it was very difficult to calculate the partial volume of each components existing in some thickness, because MR image was represented by single gray value after scanning by MR scanner. Accordingly, new segmentation algorithm proposed in this paper is to calculate the partial volume of the white and gray matter existing in some thickness through the analysis of the blurred gray value, and is to determine the threshold for segmentation of white and gray matter, and is to calculate the volume of each segmented component. And finally, proposed algorithm was applied the models which was created manually, and then acquired results was compared with that of original model.

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Effect of 2-HEA and EGPA Composition on the Electro-optical Properties of Polymer Dispersed Liquid Crystal (아크릴계 단량체 2-HEA와 EGPA의 조성에 따른 고분자 분산형 액정(PDLC)의 전기광학적 특성 평가)

  • Choi, Jongseon;Kim, Young Dae;Kim, So Yeon
    • Applied Chemistry for Engineering
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    • v.30 no.2
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    • pp.205-211
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    • 2019
  • Over the past several decades, the polymer dispersed liquid crystal (PDLC) has received particular attention as a material for developing smart window due to their electro-optical switchable properties. In this study, PDLC cells were fabricated using acrylate monomers, namely 2-hydroxyethyl acrylate (2-HEA) and ethylene glycol phenyl ether acrylate (EGPA), and the effect of the monomer composition on their electro-optical properties was investigated. The monomer mixture with a low viscosity (~10 cps) was easily filled between indium tin oxide (ITO) glasses by capillary action at room temperature. PDLC cells prepared using the mixture ratio of 1 : 9 (2-HEA : EGPA) did not show a complete opaque state at a 0 V condition but exhibited unstable electro-optical properties under an electric field. As the LC composition increased in the reaction mixture for PDLC cell preparation, the $V_{th}$ (threshold voltage) and $V_{sat}$ (saturation voltage) values as well as contrast ratio (CR) increased. $V_{th}$ and $V_{sat}$ values also increased with the cell gap thickness. PDLC cells with a $20{\mu}m$ cell gap thickness exhibited higher CR than those with 10 and $40{\mu}m$ cell gap thicknesses. Particularly, PDLC cells prepared using the mixture ratio of 7 : 3 (2-HEA : EGPA) showed excellent electro-optical properties such as a low driving voltage and high contrast ratio.

A Study of Electro-optical Characteristics of Full-HD LCOS Panel Depending on Various Cell Gaps (Full-HD LCOS Panel의 Cell Gap의 변화에 따른 전기광학적 특성에 대한 연구)

  • Son, Hong-Bae;Kim, Min-Seok;Kang, Jung-Won
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.46 no.8
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    • pp.6-11
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    • 2009
  • The electro-optical characteristics of the Liquid Crystal on Silicon (hereinafter "LCOS") micro-display on vertically alignment (VA) mode were studied with 3-dimensional LC code. 5 different cell gaps, such as 1.4 ${\mu}m$, 1.8 ${\mu}m$, 2.1 ${\mu}m$, 2.4 ${\mu}m$ and 2.8 ${\mu}m$, were selected. The reflectance-voltage (R-V) characteristics, distribution of reflected light, reflectance, optical fill factor and contrast ratio were calculated and investigated depending on various cell gaps. Due to the surface anchoring effect, higher cell gap showed higher reflectance. However, considering the optical fill factor and contrast ratio, middle-height 2.1 ${\mu}m$ showed the best electro-optical characteristic. 0.7 inch Full-HD LCOS panels having same geometry and material property were fabricated. The reflected light intensity and contrast ratio were measured and the measured results were well-matched to the calculated results.