• 제목/요약/키워드: Visual signal

검색결과 548건 처리시간 0.024초

TAILORED RF PULSE를 이용한 NMR에서의 뇌 기능 영상법 (NMR Functional brain Imaging with the Tailored RF Pulse)

  • 노용만;조장회
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1993년도 춘계학술대회
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    • pp.21-24
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    • 1993
  • The experimental results of visual stimulation with the tailored RF pulse are reported. Tailored RF pulse is used for the susceptibility effect imaging. Around 25% signal change of visual cortex area is detected during photic stimulation. Interestingly, with the tailored RF pulse, the signal intensity of visual cortex is deceased during photic stimulation. It is, however, increased with normal $T_2$ weighted imaging. The comparison between normal $T_2$ weighted imaging and the tailored RF pulse imaging are performed with 4T NMR system and the results with human volunteer are also presented.

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Visual Servoing을 이용한 움직이는 부품의 조립기법 (A Scheme for Assembling Parts Using Visual Servoing)

  • 노상수;박상범;이부형;한영준;한헌수
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.837-838
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    • 2006
  • This paper proposes a method of assembling parts using visual servoing in dynamic environment. We use SSD(Sum of Square Difference) based on adaptive template in order to detect a moving object in the case where the robot and the object both move. And the control input of the robot is obtained from the feed-back signal of the feature movement and the feed-forward signal of the camera movement in image plane.

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KS 표준 시표를 어용한 손-동작 인식 기반의 자가 시력 측정 시스템 (A Self Visual-Acuity Testing System based on the Hand-Gesture Recognition by the KS Standard Optotype)

  • 최창열;이우범
    • 융합신호처리학회논문지
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    • 제11권4호
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    • pp.303-309
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    • 2010
  • 본 논문에서는 KS 표준 시표(Optotype)를 이용한 자가 시력 측정의 새로운 방법을 제안한다. 제안한 시스템은 시력 측정 응답에 있어서 피검자 편의성을 위한 피검사자의 손-동작 인식(Hand-Gesture Recognition) 방법을 제공한다. 또한 검사자가에 필요 없는 컴퓨터에 의한 무작위 자동 시표 조정으로 검사자의 주관적인 판단이나 피검자의 암기에 의한 추측이 배제된 객관적 시력 측정이 가능하다. 특히, 2006년에 한국 표준 협회에서 정의한 표준 시표와 그 제시법(KS P ISO 8596)에 따라 시스템을 구현함으로써 시스템에 대한 신뢰성이 보장되고, 측정된 시력 정보의 데이터베이스 관리 기능은 피검자의 시력 정보가 필요한 전자의료기록(EMR) 시스템을 위한 전자 정보 전달이 용이하다. 구현된 시력 측정 시스템은 피검자를 대상으로 실제 시력표를 이용하여 측정한 방법과 비교 실험한 결과, 오차한계 ${\pm}1$ 시력등급 내에서 98%의 정확성을 보였다.

AR 모델을 이용한 뇌파신호의 스펙트럼 추정 (Spectral Estimation of EEG signal by AR Model)

  • 류동기;김택수;허재만;유선국;박상희
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1990년도 추계학술대회
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    • pp.114-117
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    • 1990
  • EEG signal is analyzed by two methods, analysis by visual inspection of EEG recording sheets and analysis by quantative method. Generally visual inspection method is used in the clinical field. But this method has its limitation because EEG signal is random signal. Therefore it is necessary to analyze EEG signals quantatively to obtain more precise and objective information of neural and brain. In this paper, power spectrum of EEG signal was estimated by AR(AutoRegressive) model in the frequency domain. This process is useful as a preprocessing stage for tomographic brain mapping (TBM) at each frequency, band. As a method for estimating power spectral density of EEG signals, periodogram method, autocorrelation method. covariance method, modified covariance method, and Burg method are tested in this paper.

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인간 시각시스템의 주파수 감도를 이용한 TFT-LCD 결함 강조 (TFT-LCD Defect Enhancement Using Frequency Sensitivity of HVS)

  • 오종환;박길흠
    • 대한전자공학회논문지SP
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    • 제44권5호
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    • pp.20-27
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    • 2007
  • 일반적으로 TFT-LCD영상은 휘도 분포가 불균일하며, 전체적으로 크게 변화하는 배경신호, 노이즈 신호, 그리고 결함 영역에서만 급격하게 변하는 결함 신호로 이루어져 있다. 본 논문에서는 HVS(human visual system)의 가장 큰 특징인 주파수에 따라 차이를 인지하는 정도가 다르다는 것을 나타내는 MTF(modulation transfer function)를 변형하여 TFT-LCD영상의 결함을 상대적으로 강조하는 알고리즘을 제안하였다. 이상적인 1차원 신호를 생성하여 제안한 방법의 유효성을 살펴보고 실제 TFT-LCD영상에 적용하여 제안한 알고리즘이 영상 결함 강조에 우수한 효과를 가짐을 확인하였다.

범죄의 두려움에 대한 자극의 유형에 따른 ERP 변화 분석 (An Analysis on the Changes in ERP According to Type of Stimuli about Fear of Crime)

  • 김용우;강행봉
    • 한국멀티미디어학회논문지
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    • 제20권12호
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    • pp.1856-1864
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    • 2017
  • The ultimate goal of multimedia in bio-signal research is to approach multimedia contents through bio-signal. Hence it is important to interpret user's emotions by analyzing his or her bio-signals. In this paper, we construct ERP task of oddball component to analyze EEG signal between normal stimuli and fear stimuli and measure EEG during ERP task. The results from extracted ERP component show that there is a difference in N200 in visual stimuli, P300 in auditory stimuli, and N100 and P300. Moreover, there are larger changes in audiovisual stimuli, indicating that users recognize greater fear of crime when visual and auditory stimuli are simultaneously presented.

브레스넘 알고리즘을 적용한 회전커널변환 필터 생성 및 영상의 화질개선 (Image Enhancement with Rotating Kernel Transformation Filter Generated by Bresenham's Algorithm)

  • 신승원;김경섭;이세민;송철규
    • 전기학회논문지
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    • 제61권6호
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    • pp.872-878
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    • 2012
  • It is quite important to improve the visual acuity of a medical image by suppressing noisy parts and simultaneously keeping the details of signal components to draw the accurate diagnostics. With this aim, we suggest a novel method to generate Rotational Kernel Transformation (RKT) filter mask with applying Bresenham's algorithm and implement an nonlinear filtering algorithm to eliminate noises. As a result, we can find the fact that RKT filter mask can be automatically created and the visual acuity of a corrupted image can be elevated in terms of the signal-to-noise ratio (SNR) with applying the RKT filter.

WIGNER-VILLE INTERPRETATION OF MUSICAL SOUND AND TRANSIENT VIBRATION SIGNALS

  • Kim, Yang-Hann;Park, Yon-Kyu
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 1994년도 FIFTH WESTERN PACIFIC REGIONAL ACOUSTICS CONFERENCE SEOUL KOREA
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    • pp.752-757
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    • 1994
  • Very often, one would like to have visual image of mechanical or acoustical events such as musical sound and transient vibrations. Conventional methods to visualize the signal, such as power spectrum, do not normally allow to cultivate the signal of interests due to their inherent limitation on transient signals. Other than the conventional method, one could use an instantaneous frequency which can reveal the variation of frequency in terms of time. Nevertheless it is quite sensitive to noise and can not resolve the frequency components of signals; normally produces additional components other than those of the signals. In this paper, we introduce the Wigner-Ville spectrum to see the transient characteristics of signal, especially musical sound and transient mechanical vibration signatures. For musical sound, several popular western classic music have been selected for the analysis. For the transient mechanical signature, the signals obtained from the car door experiment and the beam experiment are interpreted in terms of Wigner-Ville spectrum. Results demonstrate the visual expressions of transient signals; musical sound and vibrations.

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Digital Color Image Watermarking for HVS(Human Visual System) using Daubechies wavelet

  • Park, Jong-Tae;Rhee, Kang-Hyeon
    • 한국정보통신학회논문지
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    • 제8권7호
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    • pp.1488-1492
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    • 2004
  • The digital signal has been replaced the analog signal in most of every field of multimedia including still image, animation, and audio due to the enormous extension of computer supply and the fast development of computer network. The consumers of information are able to enjoy the abundance of information because of one of the digital signal traits that very easy to regenerate the original data. Because of the trait, however, it is very hard for the producers of information to keep the copyright with the merit of original copy in quality excellency. In this paper, the watermarking technology which inserts a RGB color watermark in color image using the visual characteristics of wavelet coefficient was proposed. As a result, the PSNR value of image was varied depending on perceptual parameter, but we can obtain 32dB as a whole.

Hybrid No-Reference Video Quality Assessment Focusing on Codec Effects

  • Liu, Xingang;Chen, Min;Wan, Tang;Yu, Chen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권3호
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    • pp.592-606
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    • 2011
  • Currently, the development of multimedia communication has progressed so rapidly that the video program service has become a requirement for ordinary customers. The quality of experience (QoE) for the visual signal is of the fundamental importance for numerous image and video processing applications, where the goal of video quality assessment (VQA) is to automatically measure the quality of the visual signal in agreement with the human judgment of the video quality. Considering the codec effect to the video quality, in this paper an efficient non-reference (NR) VQA algorithm is proposed which estimates the video quality (VQ) only by utilizing the distorted video signal at the destination. The VQA feature vectors (FVs) which have high relationships with the subjective quality of the distorted video are investigated, and a hybrid NR VQA (HNRVQA) function is established by considering the multiple FVs. The simulation results, testing on the SDTV programming provided by VCEG Phase I, show that the proposed algorithm can represent the VQ accurately, and it can be used to replace the subjective VQA to measure the quality of the video signal automatically at the destinations.