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학술대회자료
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제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2001
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1,869 - 1,872 (4page)

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초록· 키워드

Inspection and shape measurement of three-dimensional objects are widely needed in industries for quality monitoring and control. In this paper, we propose a three dimensional volume reconstruction method, which is an iterative method and as uniform and simulated algebraic reconstruction technique (USART). In this method, two or more x-ray images projected from different views are needed, and also the geometry of the imaging system need to be a priori identified well. That is to say, the relative locations between the x-ray source, imaging plane and the object should be determined exactly by calibration. To achieve this, we propose a series of coordinate calibration methods of the x-ray imaging system using grid pattern images. Some experimental results of these calibrations is presented and discussed in detail. Also, the experimental results of three dimensional volume reconstructions on several objects is presented using the proposed algorithm USART. Here, we propose a series of calibrations for the x-ray three dimensional imaging system. Practically, it is not easy to know the relative positions of the x-ray source and the imaging plane with respect to the object coordinates, since x-ray is invisible and the positions of the imaging areas are dependent on the change of the x-ray steered positions. To identify the relative coordinates between the components, a set of x-ray images of a reference grid pattern is used, which are taken at different heights. By analyzing the feature points in those x-ray images based on the cone beam x-ray imaging model, the relative coordinates are determined by least square method.
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목차

  1. Abstract
  2. 1. 서론
  3. 2. 다각도 투사 X선 영상 시스템
  4. 3. USART 방법에 의한 삼차원 형상 복원 알고리즘
  5. 4. 영상 좌표계 보정
  6. 참고문헌

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UCI(KEPA) : I410-ECN-0101-2014-569-000778519