• Title/Summary/Keyword: 적분영상

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Effect of finite conductive image planes on PCB radiation (유한 도전성 영상 평면이 PCB 전자파 복사에 미치는 영향 분석)

  • Kim, Jin-Suk;Cho, Kwang-Yun;Kim, Nam
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.23 no.4
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    • pp.836-845
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    • 1998
  • In this ppaer, the confguration of multi-layers of the image planes surrounding the current trace of inite width has been considered, and the shielding performance of image planes is analyzed with the parameters of the width and conductivity of the planes, and the distance between the current trace and the planes. The induced current distributions on the image planes have bgeen calculated by solving a set of electric field integral equations by the method of moments. To cacluate the current distribution on the planes effectively, a new method for dividing integral intervals is proposed.

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Content-Based Image Retrieval Using Visual Features and Fuzzy Integral (시각 특징과 퍼지 적분을 이용한 내용기반 영상 검색)

  • Song Young-Jun;Kim Nam;Kim Mi-Hye;Kim Dong-Woo
    • The Journal of the Korea Contents Association
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    • v.6 no.5
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    • pp.20-28
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    • 2006
  • This paper proposes visual-feature extraction for each band in wavelet domain with both spatial frequency features and multi resolution features, and the combination of visual features using fuzzy integral. In addition, it uses color feature expression method taking advantage of the frequency of the same color after color quantization for reducing quantization error, a disadvantage of the existing color histogram intersection method. Also, it is found that the final similarity can be represented in a linear combination of the respective factors(Homogram, color, energy) when each factor is independent one another. With respect to the combination patterns the fuzzy measurement is defined and the fuzzy integral is taken. Experiments are peformed on a database containing 1,000 color images. The proposed method gives better performance than the conventional method in both objective and subjective performance evaluation.

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A Design of Matching Module for Synchronizing Moving Objects and VR Images (이동 객체의 움직임과 VR 영상의 동기화를 위한 매칭 모듈 설계)

  • Lee, Hyun-Sup;Kim, Jindeog
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.111-112
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    • 2017
  • 최근 중소 테마파크들은 방문객의 감소로 인한 운영의 어려움을 겪고 있다. 새로운 어트랙션의 도입 및 테마파크의 리뉴얼을 통해 방문객 증가를 유도하기에는 천문학적인 비용이 소요된다. 이런 비용 소모는 운영 업체의 입장에서 부담하기 쉽지 않은 구조로 새로운 방법으로 방문객의 재방문률을 높일 수 있는 방안이 필요하다. 대표적인 방안으로 최근 높은 관심으로 인해 관련 기술 및 연구가 활발히 진행되고 있는 VR 시스템의 어트랙션 적용이 있다. 많은 움직임이 없고 안정적인 속도로 운영되는 어트랙션에 VR의 콘텐츠를 적용하여 사용자의 탑승률을 높이고 이로 인해 재방문률 또한 증가 시킬 수 있을 것으로 사료되어 많은 접근이 시도되고 있다. 이 논문에서는 어트랙션의 탑승자에게 몰입감 높은 VR 콘텐츠 제공을 위해 탑승한 어트랙션의 움직임과 VR영상을 동기화 하는 매칭 모듈에 대해 제안한다. 제안하는 모듈은 가속도 센서의 움직임에 따라 1차 적분하여 속도를 산출하고 이를 2차 적분하여 거리를 산출한다. 기존의 가속도 센서를 통한 이동거리 판단에는 칼만 필터를 적용한 오차 보정, 다분화 사다리꼴 적분 등의 연산이 필요하지만 본 논문의 고정 어트랙션에서는 탑승체의 방향이 결정되어 있어 최소화된 연산으로 정확한 이동거리를 판단할 수 있을 것으로 사료된다.

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Vehicle Detection based on the Haar-like feature and Image Segmentation (영상분할 및 Haar-like 특징 기반 자동차 검출)

  • Choi, Mi-Soon;Lee, Jeong-Hwan;Suk, Jung-Hee;Roh, Tae-Moon;Shim, Jae-Chang
    • Journal of Korea Multimedia Society
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    • v.13 no.9
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    • pp.1314-1321
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    • 2010
  • In this paper, we study about the vehicle detection algorithm which is in the process of travelling from the road. An input image is segmented by means of split and merge algorithm. And two largest segmented regions are removed for reducing search region and speed up processing time. In order to detect the back side of the front vehicle considers a vertical/horizontal component, uses an integral image with to apply Haar-like methods which are the possibility of shortening a calculation time, classified with SVM. The simulation result of the method which is proposed appeared highly.

Change Area Detection using Color and Edge Gradient Covariance Features (색상과 에지 공분산 특징을 이용한 변화영역 검출)

  • Kim, Dong-Keun;Hwang, Chi-Jung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.1
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    • pp.717-724
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    • 2016
  • This paper proposes a change detection method based on the covariance matrices of color and edge gradient in a color video. The YCbCr color format was used instead of RGB. The color covariance matrix was calculated from the CbCr-channels and the edge gradient covariance matrix was calculated from the Y-channels. The covariance matrices were effectively calculated at each pixel by calculating the sum, squared sum, and sum of two values' multiplication of a rectangle area using the integral images from a background image. The background image was updated by a running the average between the background image and a current frame. The change areas in a current frame image against the background were detected using the Mahalanobis distance, which is a measure of the statistical distance using covariance matrices. The experimental results of an expressway color video showed that the proposed approach can effectively detect change regions for color and edge gradients against the background.

The Skeletonization of 2-Dimensional Image for Fuzzy Mathematical Morphology using Defuzzification (비퍼지화를 이용한 퍼지 수학적 형태학의 2차원 영상의 골격화)

  • Park, In-Kue;Lee, Wan-Bum
    • Journal of Digital Contents Society
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    • v.9 no.1
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    • pp.53-60
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    • 2008
  • Based on similarities between fuzzy set theory and mathematical morphology, Grabish proposed a fuzzy morphology based on the Sugeno fuzzy integral. This paper proposes a fuzzy mathematical morphology based on the defuzzification of the fuzzy measure which corresponds to fuzzy integral. Its process makes a fuzzy set used as a measure of the inclusion of each fuzzy measure for subsets. To calculate such an integral a $\lambda$-fuzzy measure is defined which gives every subsets associated with the universe of discourse, a definite non-negative weight. Fast implementable definitions for erosion and dilation based on the fuzzy measure was given. An application for robust skeletonization of two-dimensional objects was presented. Simulation examples showed that the object reconstruction from their skeletal subsets that can be achieved by using the proposed was better than by using the binary mathematical morphology in most cases.

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Objective and Quantitative Evaluation of Image Quality Using Fuzzy Integral: Phantom Study (퍼지적분을 이용한 영상품질의 객관적이고 정량적 평가: 팬톰 연구)

  • Kim, Sung-Hyun;Suh, Tae-Suk;Choe, Bo-Young;Lee, Hyoung-Koo
    • Progress in Medical Physics
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    • v.19 no.4
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    • pp.201-208
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    • 2008
  • Physical evaluations provide the basis for an objective and quantitative analysis of the image quality. Nonetheless, there are limitations in using physical evaluations to judge the utility of the image quality if the observer's subjectivity plays a key role despite its imprecise and variable nature. This study proposes a new method for objective and quantitative evaluation of image quality to compensate for the demerits of both physical and subjective image quality and combine the merits of them. The images of chest phantom were acquired from four digital radiography systems on clinic sites. The physical image quality was derived from an image analysis algorithm in terms of the contrast-to-noise ratio (CNR) of the low-contrast objects in three regions (lung, heart, and diaphragm) of a digital chest phantom radiograph. For image analysis, various image processing techniques were used such as segmentation, and registration, etc. The subjective image quality was assessed by the ability of the human observer to detect low-contrast objects. Fuzzy integral was used to integrate them. The findings of this study showed that the physical evaluation did not agree with the subjective evaluation. The system with the better performance in physical measurement showed the worse result in subjective evaluation compared to the other system. The proposed protocol is an integral evaluation method of image quality, which includes the properties of both physical and subjective measurement. It may be used as a useful tool in image evaluation of various modalities.

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Relevance Feedback for Content Based Retrieval Using Fuzzy Integral (퍼지적분을 이용한 내용기반 검색 사용자 의견 반영시스템)

  • Young Sik Choi
    • Journal of Internet Computing and Services
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    • v.1 no.2
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    • pp.89-96
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    • 2000
  • Relevance feedback is a technique to learn the user's subjective perception of similarity between images, and has recently gained attention in Content Based Image Retrieval. Most relevance feedback methods assume that the individual features that are used in similarity judgments do not interact with each other. However, this assumption severely limits the types of similarity judgments that can be modeled In this paper, we explore a more sophisticated model for similarity judgments based on fuzzy measures and the Choquet Integral, and propose a suitable algorithm for relevance feedback, Experimental results show that the proposed method is preferable to traditional weighted- average techniques.

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Attitude Scenarios of Star Observation for Image Validation of Remote Sensing Satellite (영상검정을 위한 지구관측위성의 별 관측 자세 시나리오 생성 기법)

  • Yu, Ji-Woong;Park, Sang-Young;Lee, Dong-Han
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.40 no.9
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    • pp.807-817
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    • 2012
  • An optical payload needs to be validated its image performance after launched into orbit. The image performance was validated by observing star because ground site contains uncertainties caused by atmosphere, time of the year, and weather. Time Delayed and Integration(TDI) technique, which is mostly used to observe the ground, is going to be used to observe the selected stars. A satellite attitude scenario was also developed to observe the selected stars. The scenario is created to enable TDI to operate. Rotation angles of optical payload are determined in order for the selected stars to properly be passed at a desired angular velocity about rotation axis. The result of this research can be utilized to validate the quality of optical payload of a satellite in orbit. In addition, a quaternion for pointing selected stars is calculated minimizing the path from a given arbitrary attitude of satellite.

Numerically Efficient Evaluation of MoM Matrix in Conjunction with the Closed-form Green s Functions in Analysis of Multi-layered Planar Structures (다층 평판구조체 해석시 Closed-form 그린함수와 함께한 모멘트 행렬의 효율적인 수치계산)

  • 이영순;김병철;조영기
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.12 no.1
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    • pp.92-98
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    • 2001
  • When analyzing the scatting problem of multi-layered planar structures using closed-form Green's function, one of the main difficulties is that the numerical integrations for the evaluation of diagonal matrix elements converge slowly and are not so stable. Accordingly, even when the integration fur the singularity of type $e^{-jkr}/{\gamma}$, corresponding to the source dipole itself, is performed using such a method, this difficulty persists in the integration corresponding to the finite number of complex images. In order to resolve this difficulty, a new technique based upon the Gaussian quadrature in polar coordinates for the evaluation of the two-dimensional generalized exponential integral is presented. Stability of the algorithm and convergence is discussed. Performance is demonstrated for the example of a microstrip patch antenna.

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