• Title/Summary/Keyword: 영상 길이

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Development of Imaging Gamma Probe Using the Position Sensitive PMTube (위치 민감형 광전자증배관을 이용한 영상용 감마프로브의 개발)

  • Bong, Jeong-Gyun;Kim, Hui-Jung;So, Su-Gil;Kim, Han-Myeong;Lee, Jong-Du;Gwon, Su-Il
    • Journal of Biomedical Engineering Research
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    • v.20 no.1
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    • pp.107-113
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    • 1999
  • The purpose of this study was to develop a miniature imaging gamma probe with high performance that can detect small or residual tumors after surgery. Gamma probe detector system consists of NaI(Tl) scintillator, position sensitive photomultiplier tube (PSPMT), and collimator. PSPMT was optically coupled with 6.5 mm thick, 7.62 cm diameter of NaI(Tl) crystal and supplied with -1000V for high voltage. Parallel hexagonal hole collimator was manufactured for characteristics of 40-mm hole length, 1.3-mm hole diameter, and 0.22 mm septal thickness. Electronics consist of position and trigger signal readout systems. Position signals were obtained with summing, subtracting, and dividing circuit using preamplifer and amplifier. Trigger signals were obtained using summing amplifier, constant fraction discriminator, and gate and delay generator module with preamplifer. Data acquisition and processing were performed by Gamma-PF interface board inserted into pentium PC and PIP software. For imaging studies, flood and slit mask images were acquired using a point source. Two hole phantom images were also acquired with collimator. Intrinsic and system spatial resolutions were measured as 3.97 mm and 5.97 mm, respectively. In conclusion, Miniature gamma probe images based on the PSPMT showed good image quality, we conclude that the miniature imaging gamma probe was successfully developed and good image data were obtained. However, further studies will be required to optimize imaging characteristics.

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Quantitative Analysis of the Look Direction Bias in SAR Image for Geological Lineament Study (지질학적 선구조 분석을 위한 SAR 영상에서의 방향편차에 대한 정량적 분석)

  • 홍창기;원중선;민경덕
    • Korean Journal of Remote Sensing
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    • v.16 no.1
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    • pp.13-24
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    • 2000
  • SAR imagery usually reveals the influence of antenna look-direction on the delineation of geological structures. In this study, the look-direction bias in SAR image is quantitatively analyzed specifically for geological lineament study. Geologic lineaments are estimated using both Landsat TM and JERS-1 SAR images over the study area to quantitatively compare and analyze the look-direction bias in the SAR image. The standard geologic lineaments in the study area are established from lineaments estimated from TM images, field mapping, and fault lines in a published geologic map. The results show that lineaments normal to radar look-direction are extremely well enhanced while those parallel to look-direction are less visible as expected. However, certain lineaments even parallel to radar look-direction can still be detectable in a favorable topographic condition. Compared with TM image, the total number of detected lineaments in each direction in the SAR image increases or decreases ranging from 33% to 159% in length and from 28% to 187% in occurrence. The ratio of lineaments in SAR image to those in TM image with respect to direction can be fitted by a cosine function. The fitted function indicates that geological lineament is more easily detected in SAR image than in TM image within about $\pm$50$^{\circ}$ normal to radar look-direction. And lineaments with limited extension appear to be more sensitive to the look direction bias effect.

3D Reconstruction of Pipe-type Underground Facility Based on Stereo Images and Reference Data (스테레오 영상과 기준데이터를 활용한 관로형 지하시설물 3차원 형상 복원)

  • Cheon, Jangwoo;Lee, Impyeong
    • Korean Journal of Remote Sensing
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    • v.38 no.6_1
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    • pp.1515-1526
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    • 2022
  • Image-based 3D reconstruction is to restore the shape and color of real-world objects, and image sensors mounted on mobile platforms are used for positioning and mapping purposes in indoor and outdoor environments. Due to the increase in accidents in underground space, the location accuracy problem of underground spatial information has been raised. Image-based location estimation studies have been conducted with the advantage of being able to determine the 3D location and simultaneously identify internal damage from image data acquired from the inside of pipeline-type underground facilities. In this study, we studied 3D reconstruction based on the images acquired inside the pipe-type underground facility and reference data. An unmanned mobile system equipped with a stereo camera was used to acquire data and image data within a pipe-type underground facility where reference data were placed at the entrance and exit. Using the acquired image and reference data, the pipe-type underground facility is reconstructed to a geo-referenced 3D shape. The accuracy of the 3D reconstruction result was verified by location and length. It was confirmed that the location was determined with an accuracy of 20 to 60 cm and the length was estimated with an accuracy of about 20 cm. Using the image-based 3D reconstruction method, the position and line-shape of the pipe-type underground facility will be effectively updated.

A technique for Auto find the way of 3-D spatial aviation images contents environment (3차원 공간 동영상 콘텐츠 환경에서의 자동 길 찾기 기법연구)

  • Yeon, Sang-Ho
    • Proceedings of the Korea Contents Association Conference
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    • 2006.11a
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    • pp.417-420
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    • 2006
  • Recently we could generation of 3-D simulation image by use of various image contents, so I tried advanced methods very easily leads to the location on the GIS environments. Its used basically air photos and satellite sensor images for them. For the generate 3-D spatial be suitable to matching map coordinates using elevation data from digital topographic files, and matching to 3D spatial image contents through perspectives view condition composed to move according to fixed roads until arrive to location. Through this new system which tourists are able to simulate the interest paths or locations and to visit the cultural inheritance was proposed by combining various spatial data with the multimedia contents. This system provides people with guidance to locate the cultural assets in the Web environments. The developed system which is more convenient to provide tourists with the information and they are able to access automatically to location easily. In the future, the visitors are able to use easily the 3d image contents on the Internet or from the public tour information desk by using the simulation images.

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Displacement Measurement of Cable Stayed Bridge using Digital Image Processing (디지털 영상처리를 이용한 사장교의 변위 측정)

  • Son, Byung Jik;Jeon, Seung Gon;Heo, Gwang Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.5
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    • pp.237-242
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    • 2016
  • This paper introduces a method of measuring the displacement of a cable-stayed bridge using digital image processing (DIP). The validity of the DIP technique was confirmed by comparing the results with those obtained using a displacement meter and ANSYS analysis. The normalized cross-correlation (NCC) coefficient was used. 100 kgf and 200 kgf loading experiments were carried out, which showed that when the displacement is large, the reliability of the DIP technique is increased. That is, when the load was increased from 100 kgf to 200kgf, it decreased from 31% to 14% compared to the ANSYS results and from 14% to 4% compared to the displacement meter results. Therefore, the image processing method is able to measure the displacement sufficiently accurately.

Content Based Image Retrieval in Breast Tumor Images Using Color and Texture Features (칼라와 질감특징을 이용한 유방종양영상 내용 기반 검색)

  • 김민경;조미정;황해길;최흥국
    • Proceedings of the Korea Multimedia Society Conference
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    • 2004.05a
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    • pp.652-655
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    • 2004
  • 기존의 병리 영상을 판독하고 저장, 관리 하는 시스템이 수작업으로 이루어져 발생하는 문제점들을 보완하는 방안으로 유방종양 영상을 사용하여 세포영상 내용기반 검색 시스템을 구축 하고자 한다. 유방암 세포를 사용하여 효율적인 내용기반 영상 검색 시스템을 구축하기 위해서는 유방암 영상에서 검색에 가장 적합한 영상의 질감, 칼라, 형태학적 특징값의 조합이 필요하다. 따라서 본 논문에서는 세포영상의 분류에 많이 사용되는 질감 특징과 칼라값을 사용하여 내용기반 검색 시스템을 구축 하였으며, 칼라값과 질감특징값을 사용하여 검색했을 때의 효율성을 비교하였다. 향후 이런한 실험들을 통하여 세포영상검색에서 가장 최적의 파라미터들을 조합한 내용기반 검색 시스템을 구축하고자 한다.

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A Retriveal Technique of the Commercials in TV Video (TV 동영상에서의 광고 검색기법)

  • 이용연;김우생
    • Proceedings of the Korean Information Science Society Conference
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    • 1999.10b
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    • pp.413-415
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    • 1999
  • 광고주의 입장에서는 자사 광고가 방송국에서 편성한 시간대에 맞게, 또한 요구한 광고시간 길이에 맞게 방송되었는지를 검증하는 방법이 필요하다. 따라서 본 논문에서는 일반 TV 방송으로부터 찾으려는 광고와 일치하는 동영상 그룹을 자동으로 찾는 방법을 제안한다. 본 연구에서는 찾으려는 광고의 요약 정보를 먼저 구한 후, 이후 TV 동영상의 프레임들과 비교하는 방법을 사용하여 효율적으로 검색하도록 하였다.

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Experimental technique applied to free surface identification (자유 표면 인식을 위한 실험 기법 개발)

  • 권순홍;박승근;김창일
    • Journal of Ocean Engineering and Technology
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    • v.11 no.2
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    • pp.107-112
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    • 1997
  • 본 연구는 자유표면 인삭을 위한 실험 기법 개발에 관한 연구이다. 2차원 수중익에 의해 발생되는 자유표면파를 연구대상으로 삼았다. 실험은 회류수조에서 행하였다. NACA 0012 수중익을 여러가지 길이와 2가지양각에 대해서 실험한 결과 생기는 비선형 자유표면 파를 인식할 수 있도록 영상처리 기술을 도입하였다. 실헙결과 얻은 자유표면 형상을 다른 연구자의 결과와 비교하였다. 비교결과 영상처리의 기법이 자유표면을 인식하는데 대단히 유용한 도구임을 알 수 있었다.

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Gray-level Image Data Compression using adaptive Modeling and Arithmetic Code (적응 모델링과 산술부호에 의한 계조 영상 데이터 압축법)

  • 박지환
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.17 no.12
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    • pp.1494-1502
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    • 1992
  • 이 논문에서는 디지털 영상 데이터의 가역 부호화 방법을 제안하였다. 정보원 모델을 위하여 인접 화소간의 차분을 이용한 차분모델과 마르코프 모델의 구성법을 보였다. 모델링에서 얻어지는 확률 구간의 변경을 이용한 다치 산술부호화의 고속화 알고리즘을 제시하였다. 제안방식의 성능을 계산량의 비교와 컴퓨터 시뮬레이션을 통하여 평가하였다. 그 결과 상태의 그룹화에 의한 차분모델이 기존의 여러방식에 비하여 적은 계산량으로 동등 이상의 평균부호 길이의 달성할 수 있어 효과적임을 알 수 있었다. 또한 제안한 고속화 방식은 차분모델에 적용이 용이하며 128계조를 갖는 영상에 있어서 평균 5배 이상의 고속효과를 얻었다.

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Optimization of Temporal Skip Factor for Scene Change Detection in Video Sequence (동영상내에서의 장면 전환 검출 간격의 최적화)

  • 하명환;나윤정;이상길
    • Journal of Broadcast Engineering
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    • v.3 no.2
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    • pp.146-154
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    • 1998
  • 시간적 표본화를 채택한 다중경로방법에 의한 장면전환 검출방법은 전 동영상에 대해 매 프레임마다 순차적으로 검색하는 방법에 비해서 빠르며, 동일한 정확성을 갖고 있다. 그러나, 검출 시간을 최소화하기 위한 적절한 검출 간격을 선택하는 어떠한 기준이나 방법도 제시되지 않았으며 검출 간격을 경험에 의해 선택할 수밖에 없다. 이 논문에서는 장면 전환 검출 시간, 검출 간격과 실제 장면 전환 간격으로부터 검출 시간을 최소화하는 최적 검출 간격을 얻을 수 있음을 보였다. 평균 장면 전환 간격이 알려져 있지 않은 동영상에 대해서 최적 검출 간격을 추정할 수 있는 알고리듬을 제안하였다.

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