• Title/Summary/Keyword: Spatial gradient

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Movement Object Extraction Using Vision System (비젼을 이용한 움직임 물체 추출)

  • Kim, Se-Jin;Tak, Myung-Hwan;Jeon, Chil-Hwan;Joon, Young-Hoon;Park, Jin-Bae
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.1905-1906
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    • 2008
  • 본 논문에서는 spatial gradient를 이용한 강인한 물체 추출 방법을 제안한다. 제안한 방법은 먼저 복잡한 환경과 다양한 빛의 변화에 의해 나타나는 에러 값 등을 해결하기 위해 기존에 제안된 입력 영상과 기준 영상에서 밝기와 색 성분을 이용하여 최초 배경을 제거한다. 배경을 제거한 다음, 그림자로 인식되어 전경 영역에 추가된 부분을 RGB 칼라 모델과 정규화 된 RGB 칼라 모델을 이용하여 제거하고, HSI 칼라 모델을 이용하여 불필요한 정보 값을 갖는 영역을 제거한다. 마지막으로, 배경으로 인식되어 전경으로부터 제거된 부분을 입력 영상의 공간상 정보인 spatial gradient와 HSI 칼라 모델을 이용하여 복구하는 방법을 제안한다. 마지막으로, 복잡하고 다양한 실내.외 환경에서의 실험을 통해 그 응용 가능성을 증명한다.

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Improvement in Image Classification by GRF-based Anisotropic Diffusion Restoration (GRF기반이방성 분산 복원에 의한 분류 결과 향상)

  • 이상훈
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2004.03a
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    • pp.523-528
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    • 2004
  • This study proposed an anisotropic diffusion restoration fer image classification. The anisotropic diffusion restoration uses a probabilistic model based on Markov random field, which represents geographical connectedness existing in many remotely sensed images, and restores them through an iterative diffusion processing. In every iteration, the bonding-strength coefficient associated with the spatial connectedness is adaptively estimated as a function of brightness gradient. This study made experiments on the satellite images remotely sensed on the Korean peninsula. The experimental results show that the proposed approach is also very effective on image classification in remote sensing.

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Minimum-Power and/or Minimum-Inductance Design of MRI Gradient Coils Using Loop-Current Elements (환전류소를 이용한 MRI용 경사자계코일의 최소전력/최소인덕턴스설계)

  • Lee, D.R.;Yang, Y.J.;Kim, S.K.;Ahn, C.B.;Lee, H.K.;Oh, C.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1997 no.05
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    • pp.108-110
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    • 1997
  • In MRI, gradient coils are needed for spatial selection and position coding to obtain the position information of the NMR signal. In this paper, a new design scheme for actively-shielded x, y-gradient coils, namely, a minimum-power and/or minimum-inductance design scheme using current-loop elements, has been proposed. Its utility in designing MRI gradient coils has been shown by using simulation. An actively-shielded x-gradient coil has been designed as an example and the results are presented. The design scheme seems to be useful for actively-shielded transverse gradient coils, even of non-cylindrical or of arbitrarily -selected shapes.

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A Level Set Method to Image Segmentation Based on Local Direction Gradient

  • Peng, Yanjun;Ma, Yingran
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.4
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    • pp.1760-1778
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    • 2018
  • For image segmentation with intensity inhomogeneity, many region-based level set methods have been proposed. Some of them however can't get the relatively ideal segmentation results under the severe intensity inhomogeneity and weak edges, and without use of the image gradient information. To improve that, we propose a new level set method combined with local direction gradient in this paper. Firstly, based on two assumptions on intensity inhomogeneity to images, the relationships between segmentation objects and image gradients to local minimum and maximum around a pixel are presented, from which a new pixel classification method based on weight of Euclidian distance is introduced. Secondly, to implement the model, variational level set method combined with image spatial neighborhood information is used, which enhances the anti-noise capacity of the proposed gradient information based model. Thirdly, a new diffusion process with an edge indicator function is incorporated into the level set function to classify the pixels in homogeneous regions of the same segmentation object, and also to make the proposed method more insensitive to initial contours and stable numerical implementation. To verify our proposed method, different testing images including synthetic images, magnetic resonance imaging (MRI) and real-world images are introduced. The image segmentation results demonstrate that our method can deal with the relatively severe intensity inhomogeneity and obtain the comparatively ideal segmentation results efficiently.

Development of a Quality Check Algorithm for the WISE Pulsed Doppler Wind Lidar (WISE 펄스 도플러 윈드라이다 품질관리 알고리즘 개발)

  • Park, Moon-Soo;Choi, Min-Hyeok
    • Atmosphere
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    • v.26 no.3
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    • pp.461-471
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    • 2016
  • A quality check algorithm for the Weather Information Service Engine pulsed Doppler wind lidar is developed from a view point of spatial and temporal consistencies of observed wind speed. Threshold values for quality check are determined by statistical analysis on the standard deviation of 3-component of wind speed obtained by a wind lidar, and the vertical gradient of horizontal wind speed obtained by a radiosonde system. The algorithm includes carrier-to-noise ratio (CNR) check, data availability check, and vertical gradient of horizontal wind speed check. That is, data sets whose CNR is less than -29 dB, data availability is less than 90%, or vertical gradient of horizontal wind speed is less than $-0.028s^{-1}$ or larger than $0.032s^{-1}$ are classified as 'doubtful', and flagged. The developed quality check algorithm is applied to data obtained at Bucheon station for the period from 1 to 30 September 2015. It is found that the number of 'doubtful' data shows maxima around 2000 m high, but the ratio of 'doubtful' to height-total data increases with increasing height due to atmospheric boundary height, cloud, or rainfall, etc. It is also found that the quality check by data availability is more effective than those by carrier to noise ratio or vertical gradient of horizontal wind speed to remove an erroneous noise data.

Guided waves of porous FG nanoplates with four edges clamped

  • Zhao, Jing-Lei;She, Gui-Lin;Wu, Fei;Yuan, Shu-Jin;Bai, Ru-Qing;Pu, Hua-Yan;Wang, Shilong;Luo, Jun
    • Advances in nano research
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    • v.13 no.5
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    • pp.465-474
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    • 2022
  • Based on the nonlocal strain gradient (NSG) theory and considering the influence of moment of inertia, the governing equations of motion of porous functionally graded (FG) nanoplates with four edges clamped are established; The Galerkin method is applied to eliminate the spatial variables of the partial differential equation, and the partial differential governing equation is transformed into an ordinary differential equation with time variables. By satisfying the boundary conditions and solving the characteristic equation, the dispersion relations of the porous FG strain gradient nanoplates with four edges fixed are obtained. It is found that when the wave number is very small, the influences of nonlocal parameters and strain gradient parameters on the dispersion relation is very small. However, when the wave number is large, it has a great influence on the group velocity and phase velocity. The nonlocal parameter represents the effect of stiffness softening, and the strain gradient parameter represents the effect of stiffness strengthening. In addition, we also study the influence of power law index parameter and porosity on guided wave propagation.

Actively-Shielded Brain-Only $R^{2}$-Gradient Coil for Localized MRI/MRS (Localized MRI/MRS를 위한 차폐된 두뇌촬영용 $R^{2}$-경사자계코일)

  • Oh, C.H.;Yang, Y.J.;Kim, S.K.;Yi, Y.;Lee, H.K.;Ahn, C.B.
    • Proceedings of the KOSOMBE Conference
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    • v.1996 no.11
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    • pp.161-164
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    • 1996
  • An actively-shielded $r^{2}$-gradient coil has been developed for brain localized MRI or MRS. Spatial localization is very useful for spatial volume selection in MRI or MR Spectroscopy(MRS). The radial(or $R^{2}-$) gradient coil is useful in reducing the artifact or in improving the SNR by selecting the volume with less number of RF pulses. It is, however, difficult to implement the coil with a gradient intensity strong enough to use it for practical whole-body MRI system. For example, the smallest volume size for selection is just 6 cm in diameter with a 250 Ampere of current driving for a whole-body system (in case of 70-cm-diameter). In this study, an asymetric $r^{2}$-coil with a small diameter of 35 cm has been designed and implemented for brain localized MRI or MRS. An 8-rod high-pass-type birdcage RF coil has also been implemented. The coil set has been developed for 1.0 Tesla Medison MRI system and its performance has been verified experimentally.

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Novel Flow Suppression Technique in MRI (핵자기 공명 영상에서 새로운 유속 흐름제거 방법)

  • Ro, Y.M.;Cho, Z.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1992 no.05
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    • pp.92-97
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    • 1992
  • The pulsatile nature of blood flow makes artefacts in 2D Fourier transform image. Spatial presaturation is known to be effective in eliminating flow artefacts when the spin echo acquisition is employed. However. this method requires additional RF pulse and spoiling gradient for presaturation. In this paper a new flow saturation technique which does not require additional saturation-RF and gradient is proposed. The proposed technique is equivalent to the existing saturation technique but the elimination of the flow component is achieved by a pair of tailored $90^{\circ}-180^{\circ}$ RF pulses in tile spin echo sequence. By use of two tailored RF pulses with opposite phase polarity, a linear phase gradient is generated for those moving materials and consequently all the spins of moving materials become dephased thereby no signal is observable. Computer simulations and experimental results obtained using both a phantom and a human volunteer with a 2.0 T whole body system are also presented.

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Motion Boundary Detection and Motion Vector Estimation by spatio-temporal Gradient Method using a New Spatial Gradient (새로운 공간경사를 사용한 시공간 경사법에 의한 운동경계 검출 및 이동벡터 추정)

  • 김이한;김성대
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.30B no.2
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    • pp.59-68
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    • 1993
  • The motion vector estimation and motion boundary detection have been briskly studied since they are an important clue for analysis of object structure and 3-d motion. The purpose of this researches is more exact estimation, but there are two main causes to make inaccurate. The one is the erroneous measurement of gradients in brightness values and the other is the blurring of motion boundries which is caused by the smoothness constraint. In this paper, we analyze the gradient measurement error of conventional methods and propose new technique based on it. When the proposed method is applied to the motion boundary detection in Schunck and motion vector estimation in Horn & Schunck, it is shown to have much better performance than conventional method is some artificial and real image sequences.

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