• Title/Summary/Keyword: 적분 영상

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Image Processing Algorithm for Area Measurement of an Object by the Hierarchical Angle-Distance Graphs (계층적 각-거리 그래프를 이용한 물체 면적 측정을 위한 영상처리 알고리듬)

  • Kim, Woong-Ki;Ra, Sung-Woong;Lee, Jung-Won
    • Proceedings of the Korea Information Processing Society Conference
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    • 2005.05a
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    • pp.785-788
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    • 2005
  • 일정한 형태의 물체를 분석하기 위해 사용되는 각-거리 그래프를 이용하여 임의의 물체의 경계선 내부 영역의 면적을 측정하는 영상처리 알고리듬을 제안한다. 물체의 경계선 내부의 한 점을 중심으로 1차 각-거리 그래프를 생성하고 이 그래프로부터 거리 값이 급격히 변화하는 위치를 추출하여 1 차 그래프에서 접근하지 못한 영역을 인식하여 새 영역에서의 한 점을 중심으로 2 차 각-거리 그래프를 생성한다. 이와 같이 계층적으로 구성된 각-거리 그래프 그룹에 대해 거리의 제곱을 각도 방향으로 적분하여 물체의 경계선 내부 영역의 면적을 측정한다.

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Mathematical Andysis of Imaging Conception (수학적 영상개념)

  • 박일영
    • Progress in Medical Physics
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    • v.3 no.2
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    • pp.67-81
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    • 1992
  • Lots of physical phenomena which deteriorate the faithfulness of radiological images exist. The most common types of degradation are a loss of resolution and an increase in noise. This article deals with resolution. factors that influence it. and its characterisation. The problem of resolution failure due to a generic blurring phenomenum is described diagramatically and mathematically. for both one dimensional and two dimensional signals. The definition of the point spread function. the line spread function. the convolution integral and the modulation transfer function are made. The concept of frequency domain operations using the Fourier Transform is also discussed.

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An Improved Normalization Method for Haar-like Features for Real-time Object Detection (실시간 객체 검출을 위한 개선된 Haar-like Feature 정규화 방법)

  • Park, Ki-Yeong;Hwang, Sun-Young
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.8C
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    • pp.505-515
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    • 2011
  • This paper describes a normalization method of Haar-like features used for object detection. Previous method which performs variance normalization on Haar-like features requires a lot of calculations, since it uses an additional integral image for calculating the standard deviation of intensities of pixels in a candidate window and increases possibility of false detection in the area where variance of brightness is small. The proposed normalization method can be performed much faster than the previous method by not using additional integral image and classifiers which are trained with the proposed normalization method show robust performance in various lighting conditions. Experimental result shows that the object detector which uses the proposed method is 26% faster than the one which uses the previous method. Detection rate is also improved by 5% without increasing false alarm rate and 45% for the samples whose brightness varies significantly.

De-interlacing Algorithm Using Integral Projection-based Motion Estimation Considering Region Of Interest (관심영역 단위의 적분 프로젝션기반 움직임 추정을 사용한 순차주사화 알고리즘)

  • Kim, Young-Duk;Chang, Joon-Young;Kang, Moon-Gi
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.45 no.3
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    • pp.20-29
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    • 2008
  • In this paper, we propose a do-interlacing algorithm using integral projection-based motion estimation considering Region Of Interest(ROI). The proposed motion estimation method finds the motion of the given ROI accurately with low computational cost. In order to incorporate the motion estimation in do-interlacing, an entire image is first segmented into multiple ROIs according to the temporally predicted block-wise motion types and spatial positions. Then, motion vectors of respective ROIs are obtained by the integral projection method. In this paper, totally five ROIs, one for the global motion and four for the local motions, are made, and therefore, five motion vectors are produced for each field. By using the estimated motion vectors, motion compensation is performed for increasing the vortical resolution of the converted frames. Finally, do-interlaced frames are obtained by effectively combining the results of motion compensation and stable intra-field do-interlacing according to the reliability of motion compensation. Experimental results show that the proposed algorithm provides better image quality than existing algorithms in both subjective and objective measures.

Regional Myocardial Blood Flow Estimation Using Rubidium-82 Dynamic Positron Emission Tomography and Dual Integration Method (Rubidium-82 심근 Dynamic PET 영상과 이중적분법을 이용한 국소 심근 혈류 예측의 기본 모델 연구)

  • 곽철은;정재민
    • Journal of Biomedical Engineering Research
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    • v.16 no.2
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    • pp.223-230
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    • 1995
  • This study investigates a combined mathematical model for the quantitative estimation of regional myocardial blood flow in experimental canine coronary artery occlusion and in patients with ischemic myocardial diseases using Rb-82 dynamic myocardial positron emission tomography. The coronary thrombosis was induced using the new catheter technique by narrowing the lumen of coronary vessel gradually, which finally led to partial obstruction of coronary artery. Thirty four Rb-82 dynamic myocardial PET scans were performed sequentially for each experiment using our 5, 10 and 20 second acquisition protocol, respectively, and six to seven regions of interest were drawn on each transaxial slices, one on left ventricular chamber for input function and the others on normal and decreased perfusion myocardial segments for the flow estimation in those regions. Two compartment model and graphical analysis method have been applied to the measured sets of regional PET data, and the rate constants of influx to myocardial tissue were calculated for regional myocardial flow estimates with the two parameter fits of raw data by the Levenberg-Marquardt method. The results showed that, (I) two compartment model suggested by Kety-Schmidt, with proper modification of the measured data and volume of distribution, could be used for the simple estimation of regional myocardial blood flow, (2) the calculated regional myocardial blood flow estimates were dependent on the selection of input function, which reflected partial volume effect and left ventricular wall motion in previously used graphical analysis, and (3) mathematically fitted input and tissue time activity curves were more suitable than the direct application of the measured data in terms of convergence.

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Turbulent Flow over 2-D Rectangular-Shaped Roughness Elements with Various Spacings(Part 2 : Turbulence, Friction Velocity and Integral Parameters) (사각단면을 갖는 환경 거칠기 요소의 거칠기 간격에 따른 유동 변화(제2보 : 난류, 마찰속도 및 적분변수))

  • Hyun B.S.;Suh E.J.;Moon J.S.;Kim G.W.
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.9 no.2
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    • pp.85-91
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    • 2006
  • This study deals with the flow over a flat plate with repeated roughness elements of 2-dimensional rectangular shape, which can be applied into the study on the natural geographical roughness and the turbulent flow on roughened solid surface. Part 1 of the study showed that the ratio between the spacing and the height of roughness elements plays a crucial role in developing the flow pattern near wall surface. The present study complements the turbulence characteristics, the utilization of friction velocity as well as integral parameters. Results confirmed that k-type roughness(s/H=7 or 14) is certainly a more effective means than d-type roughness (s/H=3.5) in thickening the viscous region.

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An Analytical Approach to Color Composition in Ray Tracing of Volume Data

  • Jung, Moon-Ryul;Paik, Doowon;Kim, Eunghwan
    • Journal of the Korea Computer Graphics Society
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    • v.2 no.1
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    • pp.1-6
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    • 1996
  • In ray tracing of 3D volume data, the color of each pixel in the image is typically obtained by accumulating the contributions of sample points on the ray cast from the pixel point. This accumulation is most naturally represented by integration. In most methods, however, it is done by numerical summation because analytical solution to the integration are hard to find. This paper shows that a semi-analytical solution can be obtained for a typical ray tracing of volume data. Tentative conclusions about the significance and usefulness of our approach are presented based on our experiments.

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The Effect of Finite Flange of Open-Ended Coaxial Probe on the Converted Complex Permittivity of PCB Substrate (개방 단말 동축선 프로브의 유한한 접지판이 PCB 기판의 복소 유전율 환산에 미치는 영향)

  • Jung Ji-Hyun;Kim Young-Sik;Kim Se-Yun
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.17 no.1 s.104
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    • pp.52-59
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    • 2006
  • To construct its complex permittivity from the reflection coefficient of a thin film such as PCB substrate measured by open-ended coaxial probe, an integral equation is formulated using modal analysis and equivalent source. The accuracy of the conversion model based on the integral equation is confirmed in both cases of converted complex permittivities calculated from numerically computed and actually measured reflection coefficients. And the maximum valid frequency of open-ended coaxial probe is limited by the size of its flange.

Implementation of Regional Cerebral Blood Volume Map Using Perfusion Magnetic Resonance Image Process Algorithm (관류자기공명 영상처리 알고리즘을 이용한 대뇌 혈류량 맵의 구현)

  • Park Byung-Rae
    • The Journal of the Korea Contents Association
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    • v.5 no.5
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    • pp.296-304
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    • 2005
  • Quantitative analysis compare to dynamic characteristic change of the regional cerebral blood volume(rCBV) after development of cerebral fat embolism in cats using perfusion magnetic resonance(MR) Imaging. Twenty cats were used. Linoleic acid (n=11) were injected into the internal carotid artery using microcatheter through the transfemoral approach. Polyvinyl alcohol (Ivalon) (n=9) was injected as a control group. Perfusion MR images were obtained at 30 minutes and 2 hours after embolization, based on T2 and diffusion-weighted images. The data was time-to-signal intensity curve and ${\Delta}R_2^*$ curve were obtained continuously with the aid of home-maid image process algorithm and IDL(interactive data Banguage, USA) softwares. The ratios of rCBV increased significantly at 2 hours compared with those of 30 minutes (P<0.005). In conclusion, cerebral blood flow decreased in cerebral fat embolism immediately after embolization and recovered remarkably in time course. It is thought that clinically informations to dynamic characteristic change of the cerebral hemodynamics to the early finding in cerebral infarction by diffusion weighted imaging(DWI) and perfusion weighted imaging(PWI).

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Evaluation of Machine Learning Methods to Reduce Stripe Artifacts in the Phase Contrast Image due to Line-Integration Process (선적분에 의한 위상차 영상의 줄무늬 아티팩트 감소를 위한 기계학습법에 대한 평가)

  • Kim, Myungkeun;Oh, Ohsung;Lee, Seho;Lee, Seung Wook
    • Journal of the Korean Society of Radiology
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    • v.14 no.7
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    • pp.937-946
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    • 2020
  • The grating interferometer provides the differential phase contrast image of an phase object due to refraction of the wavefront by the object, and it needs to be converted to the phase contrast image. The line-integration process to obtain the phase contrast image from a differential phase contrast image accumulates noise and generate stripe artifacts. The stripe artifacts have noise and distortion increases to the integration direction in the line-integrated phase contrast image. In this study, we have configured and compared several machine learning methods to reduce the artifacts. The machine learning methods have been applied to simulated numerical phantoms as well as experimental data from the X-ray and neutron grating interferometer for comparison. As a result, the combination of the wavelet preprocessing and machine learning method (WCNN) has shown to be the most effective.