• Title/Summary/Keyword: Three-dimensional image analysis

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Goniometric Image Analysis of Observed Color Change in Dyed Trilobal Cross-section Polyester Monofilament Fabrics

  • Lee, Jung-Min;Kim, Jong-Jun;Jeon, Dong-Won;Ahn, Byung-Tae;Choi, Jung-Im
    • Journal of Fashion Business
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    • v.11 no.6
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    • pp.115-124
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    • 2007
  • The cross-section of the polyester filament yarn has been modified to have a variety of shape for aesthetic, added functions and sensitivities, and other purposes. Transparent polyester filament of trilobal cross-section has unique optical properties with high anisotropic reflectivity and transmissivity. The monofilament yarns may be utilized to impart to the fabrics lustrous appearance along with unique color change in case differently dyed yarns are woven together. The color changes of the fabric specimens according to the changes in observation and lighting conditions were analyzed using a CCD camera and an image analysis software. The changes of color/luster of the fabric specimens were measured and analyzed based on RGB, $L^*a^*b^*,\;L^*C^*h,$ and the color distribution within a three-dimensional color space.

Stress Distribution of Occlusal Loading Applied on Cervical Region Using 3D Finite Element Analysis (교합하중에 의한 치경부 응력분포의 3차원 유한요소해석)

  • Woo S.G.;Kim G.H.;Son K.;Park J.K.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.521-522
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    • 2006
  • Occlusal loading is considered as the main factor of noncarious cervical lesions. The goal of this study is to identify stress distribution using three dimensional finite element analysis, when occlusal loading is applied on the cervical lesion of human tooth. A finite element model was constructed from micro-CT image and three kinds of static force(500 N) were assumed. In all cases stress concentrates on the same area in the cement-enamel junction. This finding is consistent with published experimental results.

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Analysis of Image Distortion by Mandibular Arch Form in Cone Beam CT and Panoramic Image (Cone Beam형 CT와 파노라마 영상에서 하악궁의 영상 왜곡 분석)

  • Jeong, Cheonsoo;Lee, Geeheun
    • Journal of the Korean Society of Radiology
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    • v.7 no.4
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    • pp.301-305
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    • 2013
  • This thesis intends to analyze tooth distortion by mandibular arch form by reproducing existing panorama image and reconstructed panorama image of Cone Beam CT data with the three-dimensional computer program. The diameter of tooth measured in Cone Beam CT's cross-section image and reconstructed panorama was synchronized without any big change from incisors to posteriors. But, panorama showed serious distortion as going to posteriors after showing a little distortion in incisors. The panorama reconstructed for patients' individual arch showed reduced distortion than panoramas used generally. In addition, panorama showed serious distortion from incisors to posteriors and it means that distortion is reduced in reconstructed panorama.

GIS Application for Site Planning

  • Han, Seung-Hee;Lee, Jin-Duk
    • Journal of Korean Society for Geospatial Information Science
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    • v.17 no.1
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    • pp.53-59
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    • 2009
  • The general urban plan is the plane plan which limits general and uniformed constructions; however, the district unit plan is the solid plan that can leads various constructions by discriminating by plot, housing area and lot. Therefore, for the zone plan, not only the two-dimensional plot information such as plot usage plan, but also the three-dimensional plot information needs to be used to analyze lighting, sewerage and directions. To fulfill such requirements, the information can be gathered using GIS and photogrammetric method for the reasonable and efficient zone plan. In this research, the information about the testing area for the zone plan has been gathered using GIS method, and the three-dimensional model about the area has been built using the satellite image and DEM. As the result, plot usage analysis, direction analyst, water system analysis, and slope analysis has been done and used efficiently to build the district unit plan. Also, after the result after applying the analyzed result to the actual area says this is very appropriate and efficient.

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The Value of Three-Dimensional Reconstructions of MRI Imaging using Maximum Intensity Projection Technique (유방 MRI의 최대강도투사 기법에 의한 3차원 재구성 영상의 유용성)

  • Cho, Jae-Hwan;Lee, Hae-Kag;Hong, In-Sik;Kim, Hyun-Joo;Jang, Hyun-Cheol;Park, Cheol-Soo;Park, Tae-Nam
    • Journal of Digital Contents Society
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    • v.12 no.2
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    • pp.157-164
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    • 2011
  • The purpose of this study was to examine the usefulness of 3D reconstruction images in breast MRI by performing a quantitative comparative analysis in patients diagnosed with DCIS. On a 3.0T MR scanner, subtraction images and 3D reconstruction images were obtained from 20 patients histologically diagnosed with ductal carcinoma in situ (DCIS). The findings from the quantitative image analysis are the following: The 3D reconstruction images showed higher SNR at the lesion area, ductal area, and fat area that of the subtraction image. In addition, the CNR were not significantly different in the lesion area itself between the subtraction images and 3D reconstruction images.

Security Analysis of MAC Algorithm using Block Cipher (블록 암호 알고리즘을 애용한 MAC 분석)

  • Seo Chang-Ho;Yun Bo-Hyun;Maeng Sung-Reol
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.2 s.34
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    • pp.39-47
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    • 2005
  • This paper proposes and analyzes the MAC(Message Authentication Code) algorithm that is used for the transition integrity and the entity authentication of message. The MAC algorithm uses the DES algorithm which has 64-bit block and 56-bit key and we compare the security according to 64-bit and 32-bit length of MAC value. Moreover, we use the SEED algorithm which has 128-bit block and 128-bit key and compare the security according to 128-bit and 64-bit length of MAC value. We analyze the security the forgery attack according to length of message and length of MAC value. this paper, a coarse-to-fine optical flow detection method is proposed. Provided that optical flow gives reliable approximation to two-dimensional image motion, it can be used to recover the three-dimensional motion. but usually to get the reliable optical flows are difficult. The proposed algorithm uses Horn's algorithm (or detecting initial optical flow, then Thin Plate Spline is introduced to warp a image frame of the initial optical flow to the next image frame. The optical flow for the warped image frame is again used iteratively until the mean square error between two image sequence frames is lowered. The proposed method is experimented for the real moving Picture image sequence. The proposed algorithm gives dense optical flow vectors.

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Effects of the cone-beam computed tomography protocol on the accuracy and image quality of root surface area measurements: An in vitro study

  • Chanikarn Intarasuksanti;Sangsom Prapayasatok;Natnicha Kampan;Supassara Sirabanchongkran;Pasuk Mahakkanukrauh;Thanapat Sastraruji;Pathawee Khongkhunthian;Kachaphol Kuharattanachai;Kanich Tripuwabhrut
    • Imaging Science in Dentistry
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    • v.53 no.4
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    • pp.325-333
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    • 2023
  • Purpose: The objective of this study was to evaluate and compare the accuracy and image quality of root surface area (RSA) measurements obtained with various cone-beam computed tomography (CBCT) protocols, relative to the gold standard of micro-computed tomography (CT), in an in vitro setting. Materials and Methods: Four dry human skulls were scanned using 8 different protocols, with voxel sizes of 0.15 mm, 0.3 mm, and 0.4 mm. Three-dimensional models of the selected teeth were constructed using CBCT and microCT protocols, and the RSA was automatically measured by the image-processing software. The absolute difference in the percentage of the RSA(%ΔRSA) was calculated and compared across the 8 CBCT protocols using repeatedmeasures analysis of variance. Finally, image quality scores of the RSA measurements were computed and reported in terms of percent distribution. Results: No significant differences were observed in the %ΔRSA across the 8 protocols (P>0.05). The deviation in %ΔRSA ranged from 1.51% to 4.30%, with an increase corresponding to voxel size. As the voxel size increased, the image quality deteriorated. This decline in quality was particularly noticeable at the apical level of the root, where the distribution of poorer scores was most concentrated. Conclusion: Relative to CBCT protocols with voxel sizes of 0.15mm and 0.3mm, the protocols with a voxel size of 0.4 mm demonstrated inferior image quality at the apical levels. In spite of this, no significant discrepancies were observed in RSA measurements across the different CBCT protocols.

Visual Cell : Image Analysis and Visual Retrieval System for Biology Cell Image Bigdata (Visual Cell : 바이오세포 이미지 빅데이터를 위한 이미지 분석 및 시각적 검색 시스템)

  • Park, Beomjun;Jo, Sunhwa;Lee, Suan;Shin, Jiwoon;Yoo, Hyuk Sang;Kim, Jinho
    • The Journal of Bigdata
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    • v.4 no.1
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    • pp.53-61
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    • 2019
  • The extracellular matrix, which provides the structural and biochemical support of surrounding cells, is a cell physiological modulator that controls cell division and differentiation. In the bio sector, the company produces Scapold, a three-dimensional support for tissue engineering, and cultivates stem cells in the produced Scapold to be transplanted into animals to assess tissue regeneration. This depends on components such as collagen in the tissue. Therefore, it is very important to identify the inclusion rate and distribution of components in the tissue, and the data are obtained by analyzing the color of the dyed tissue image. The process from image collection to analysis is costly, and the data collected and analyzed are managed in different formats by different research institutions. Therefore, data integration management and analysis results search are not being performed. In this paper, we establish a database that can manage relevant bigdata in an integrated manner, and propose a bio-image integrated management and retrieval system that can be searched based on color, an important analytical measure in this field of study.

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Merging of SPOT P-mode and XS-mode Images using Color Transformation and Image Enhancement (색변환과 영상개선기법을 이용한 SPOT P-mode와 XS-mode 영상합성)

  • 손덕재;이종훈
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.9 no.2
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    • pp.103-113
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    • 1991
  • The accuracy of input coordinates of ground control points and check points affects great influences to the results of ground coordinate computation in using SPOT digital image data. The original SPOT images displayed on CRT are not usually adequate for identifying the object features and determining the point positioning. Hence, appropriate image processing techniques such as contrast enhancement, subpixel interpolation, edge enhancement, and spatial filtering are needed. In this study, the principles of digital image processing needed for accurate three dimensional positioning and spectral characteristic analysis are investigated. The algorithms for the actual applications are developed and programmed. And using the developed image processing software, some SPOT P-mode and XS-mode images are merged into the SPOT P+XS, the high-resolution color composite image.

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A Novel Automatic Algorithm for Selecting a Target Brain using a Simple Structure Analysis in Talairach Coordinate System

  • Koo B.B.;Lee Jong-Min;Kim June Sic;Kim In Young;Kim Sun I.
    • Journal of Biomedical Engineering Research
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    • v.26 no.3
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    • pp.129-132
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    • 2005
  • It is one of the most important issues to determine a target brain image that gives a common coordinate system for a constructing population-based brain atlas. The purpose of this study is to provide a simple and reliable procedure that determines the target brain image among the group based on the inherent structural information of three-dimensional magnetic resonance (MR) images. It uses only 11 lines defined automatically as a feature vector representing structural variations based on the Talairach coordinate system. Average characteristic vector of the group and the difference vectors of each one from the average vector were obtained. Finally, the individual data that had the minimum difference vector was determined as the target. We determined the target brain image by both our algorithm and conventional visual inspection for 20 healthy young volunteers. Eighteen fiducial points were marked independently for each data to evaluate the similarity. Target brain image obtained by our algorithm showed the best result, and the visual inspection determined the second one. We concluded that our method could be used to determine an appropriate target brain image in constructing brain atlases such as disease-specific ones.