• Title/Summary/Keyword: projection filter

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A Survey on Patient Dose and Exposure Conditions in Simple Radiography of the Abdomen (복부 단순 X-선 촬영조건과 환자 피폭에 관한 조사 연구)

  • Kim, Sung-Soo;Lee, Sun-Sook;Huh, Joon
    • Journal of radiological science and technology
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    • v.19 no.2
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    • pp.59-65
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    • 1996
  • We studied exposure techniques and exposure dose for simple abdomen A-P projection for 41 medical facilities that are located in Seoul area. 1. The range of tube voltage used was 60 to 84 kVp, the average tube voltage used was 74 kVp 2. Only 17% of added filter was used. 3. Tube current mostly used was 200 mA, some of them used 400 mA. 4. The grid ratio mostly was used 10 : 1, 54 % of the rare earth screen was used in most facilities. 5. The average skin entrance dose was 4.15 mSv and the dose range was 1.05 mSv to 11.0 mSv.

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Detection of Oscillation Mark in Slab Surface (슬라브(Slab) 표면에서 오실레이션 마크(Oscillaton mark) 검출 알고리즘)

  • Jeon, Yong-Ju;Yun, Jong-Pil;Choi, Doo-Chul;Kim, Sang-Woo
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.1804_1805
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    • 2009
  • 최근 여러 산업 분야에서는 품질의 향상과 생산성을 높이기 위해 자동화 검사 장치 개발이 활발하게 연구 되고 있다. 본 연구에서는 비전을 이용한 신뢰도 높은 슬라브(Slab) 표면 검사 자동화 알고리즘의 전처리 단계인 오실레이션 마크(Oscillation mark) 검출을 목표로 한다. 슬라브 영상의 경우 조업시에 발생하는 산화 물질인 스케일(Scale)이 영상 전체에 분포하고 있으며, 이러한 스케일은 형태적 특징 및 밝기 특징이 일정치 않기 때문에 오실레이션 마크 검출 성능을 저하 시킨다. 따라서 스케일의 영향을 최소화 하고 효과적으로 오실레이션 마크를 검출하기 위해 가버 필터(Gabor filter)와 수직 투영 프로파일(Vertical projection profile)을 이용한 노이즈 제거 방법을 사용한다.

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Raised characters rocognition of rubber tires using neural network (Neural Network를 이용한 고무 타이어의 돌출 문자 인식)

  • 김경민;박중조;김민기;박귀태
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10a
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    • pp.864-869
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    • 1993
  • This paper presents the problem of automatically recognizing embossed or molded characters which are raised from the side wall on rubber tire. In the tire image objects have approximately the same gray-value as the background and because of the tire geometry, illumination of the surface is nonhomogenous. Therefore it is difficult to recognize the raised tire character. In this paper, for describing the process of processing three steps have been proposed: 1) MIN & MAX smoothing operation filter, 2) edge detection algorithm using modified laplacian operator, 3) noise rejection. Afterwards, segmentation is done to attain characters from tire image by projection method. The recognition of the characters in the segmented image is carried out by using multilayered neural network, which is insensitive to the noise.

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Nonlinear ANC system robust to background noise variation by using 3rd-order Volterra filtering with a VSSGS-PAP algorithm (3차 볼테라 필터링과 VSSGS-PAP 알고리즘을 이용한 배경잡음 변화에 강인한 비선형 능동소음제어 시스템)

  • Seo, Jae-Beom;Kim, Kyoung-Jae;Nam, Sang-Won
    • Proceedings of the IEEK Conference
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    • 2009.05a
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    • pp.70-72
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    • 2009
  • In this paper, nonlinear active noise control(ANC) of a 3rd-order Volterra system, which is robust to background noise variation, is proposed along with a variable step-size Gauss-Seidel pseudo affine projection(VSSGS-PAP) algorithm. Simulation results demonstrate that the proposed approach yields better nonlinear ANC performance in a background noise variation environment, compared with the conventional methods for the nonlinear ANC.

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Frequency Domain Methods for Demosaicking of Single-Chip RGB/NIR Image Sensors

  • Jeong, Kil-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.11
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    • pp.25-30
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    • 2017
  • In this paper, We proposed an effective demosaicking method for single chip RGB-NIR sensors to recover RGB and NIR images. As the method operates in the spatial frequency domain, the frequency domain characteristics of the sampled CFA data are investigated. Using the luminance signal in the frequency domain and the chrominance signals are processed separately with different filters. The simulated images using the real images are compared with other state-of-art methods. As a result, the proposed demosaicking method resulted an effective calculation by a single processing which the existing alternating projection method requires repeated calculation.

Improved Time Delay Difference Estimation for Target Tracking using Doppler Information (도플러 효과의 보상을 통한 시간지연 차의 추정)

  • 염석원;윤동헌;윤동욱;고한석
    • The Journal of the Acoustical Society of Korea
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    • v.17 no.8
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    • pp.25-33
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    • 1998
  • 본 논문에서는 한 쌍의 센서를 이용하여 미지의 수중 음향 신호의 시간지연의 차 (Time Delay Difference)를 추정하고 탐지하는 알고리즘을 다루고 있다. 전형적인 시간지연 차의 최적화 추정 기법은 두 신호의 상관관계(Cross Correlation)에 의한 ML(Maximum likelihood)추정으로 구할 수 있지만, 실제 수중 음향 환경 하에서 시간 지연뿐만 아니라 표 적의 이동에 의하여 발생하는 도플러 효과로 신호의 주파수도 변하게 된다. 이러한 신호 주 파수의 올바른 고려 없이 단순히 두 신호의 시간지연만을 추정하는 방법은 불가피한 에러를 생성하게 된다. 본 논문에서는 시시각각 변하는 시간지연의 차를 구하기 위한 준 최적화 기 법인 확률분포 함수의 Recursive Filter에 시간 지연 차와 도플러효과의 2차원 확률분포 함 수를 적용한 추정 알고리즘을 제안한다. 관측된 신호의 리샘플링(Resampling)을 통하여 도 플러 효과를 보상한 후 2차원 Conditional likelihood를 구하고 Projection과 Correction 과정 을 통하여 시간지연과 도플러 효과에 대한 사후확률을 구한다. 그리고 이러한 알고리즘을 가상 시나리오에 대한 모의실험을 통하여 평가한다.

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A Study on the Optical Pattern Recognition using pSDF and Nonlinear Correlator (pSDF와 비선형 상관기를 이용한 광패턴 인식에 관한 연구)

  • 정창규;임종태;김경태;박한규
    • Korean Journal of Optics and Photonics
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    • v.1 no.2
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    • pp.130-134
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    • 1990
  • In this paper, pSDF-based referance image is reahzed. Using BJTC(binary joint transform correlator) as nonlinear correlator, optical pattern recognition for interclass discrimination is performed. Experimental results show that correlation peak intensity of one calss is two times higher than that of the other class, which indicates its superiority in discrimination sensitivity.

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Research on a Spectral Reconstruction Method with Noise Tolerance

  • Ye, Yunlong;Zhang, Jianqi;Liu, Delian;Yang, Yixin
    • Current Optics and Photonics
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    • v.5 no.5
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    • pp.562-575
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    • 2021
  • As a new type of spectrometer, that based on filters with different transmittance features attracts a lot of attention for its advantages such as small-size, low cost, and simple optical structure. It uses post-processing algorithms to achieve target spectrum reconstruction; therefore, the performance of the spectrometer is severely affected by noise. The influence of noise on the spectral reconstruction results is studied in this paper, and suggestions for solving the spectral reconstruction problem under noisy conditions are given. We first list different spectral reconstruction methods, and through simulations demonstrate that these methods show unsatisfactory performance under noisy conditions. Then we propose to apply the gradient projection for sparse reconstruction (GRSR) algorithm to the spectral reconstruction method. Simulation results show that the proposed method can significantly reduce the influence of noise on the spectral reconstruction process. Meanwhile, the accuracy of the spectral reconstruction results is dramatically improved. Therefore, the practicality of the filter-based spectrometer will be enhanced.

Non-glasses Stereoscopic 3D Floating Hologram System using Polarization Technique

  • Choi, Pyeongho;Choi, Yoonhee;Park, Misoo;Kwon, Soonchul;Lee, Seunghyun
    • International journal of advanced smart convergence
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    • v.8 no.1
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    • pp.18-23
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    • 2019
  • The image projected onto the screen of the floating hologram is no more than a two-dimensional image. Although it creates an illusion that an object appears to float in space as it moves around while showing its different parts. This paper has proposed a novel method of floating 3D hologram display to view stereoscopic three-dimensional images without putting on glasses. The system is comprised of a sharkstooth scrim screen, projector, polarizing filter for the projector, and a polarizing film to block the image projected from the sham screen. As part of the polarization characteristics, the background image and the front object have completely been separated from each other with the stereoscopic 3D effect successfully implemented by the binocular disparity caused by the distance between the two screens.

The Noise Power Spectrum in Heavy Ion CT Based on Measurement of Residual Range Distribution

  • Yasuda, Naruomi;Abe, Shinji;Nishimura, Katsuyuki;Tomita, Tetsuya;Sato, Hitoshi;Muraishi, Hiroshi;Kanzaki, Takayuki;Inada, Tetsuo;Fujisaki, Tatsuya
    • Proceedings of the Korean Society of Medical Physics Conference
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    • 2002.09a
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    • pp.228-230
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    • 2002
  • The relative electron density resolution was discussed by the noise power spectrum (NPS) in the heavy ion CT image. The heavy ion beam $\^$12/C accelerated up to 400MeV/u by RIMAC was used in this study. The two-dimensional (2-D) NPS in the CT image was obtained from the one-dimensional (1-D) NPS of the measured residual range distribution of water phantom for single projection, and the noise variance in the CT image was calculated from 2-D NPS. The technique used in the reconstruction was the filtered back-projection method with Shepp-Logan filter. The calculated value suggests the result of our previous works using the density resolution phantom, assuming that the relative electron density resolution is twice the standard deviation. Therefore, the estimation of the noise in CT images by 2-D NPS obtained the measured residual range distribution is the useful method.

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