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The Study for the Reconstruction of two objects using the Stereo X-ray Inspection System

스테레오 X-선 검색장치를 이용한 이중물체 형상복원 연구

  • Hwang, Young-Gwan (Division of Information Communication, Chungnam National University) ;
  • Lee, Nam-Ho (Korea Atomic Energy Research Institute) ;
  • Park, Jong-Won (Division of Information Communication, Chungnam National University)
  • Received : 2012.07.18
  • Accepted : 2012.09.06
  • Published : 2012.09.30

Abstract

The Stereo X-ray inspection system is designed for effectively providing the additional information of objects than the conventional inspection system that offers only 2D cross-section of objects. We studied the geometric improvement of the stereo X-ray inspection system, the stereo matching algorithm of the single object using the edge and the volume reconstruction method for the inspected object. In this paper, we conduct a matching algorithm to find the correspondences between the images and reconstruct 3-D shapes of real objects using the stereo X-ray images. Also, we apply a new 3D reconstruction algorithm for the discrimination of two objects. For the separation of the overlapping objects, we calculate the vector of the object and divide inner and outer voxel of objects. And for the elimination of the overlapping area, we study the reconstruct 3D shapes using the threshold based Z-axis. The experimental results show that the proposed technique can enhance the accuracy of stereo matching and give more efficient visualization for overlap objects in the restricted environment.

스테레오 X-선 검색장치는 기존의 대상물의 단면 정보만을 제공하는 검색 시스템보다 대상체에 대한 추가적인 정보를 제공하여 검색 효율을 높이기 위해 고안되었다. 이를 위하여 선행연구를 통해 스테레오 X-선 검색장치를 개발하고 기하학적 구조개선, 단일 오브젝트에 대한 윤곽선 정합 및 볼륨기반 형상복원 연구 등을 수행하였다. 본 논문에서는 선행 연구를 통해 개발된 스테레오 X-선 검색장치를 개선하여 정밀한 제어를 통해 두 개의 중첩 대상물을 스캔하여 대상체의 외형분리 복원을 위한 연구를 수행하였다. 중첩된 두 종의 대상체에 대한 외형정보를 분리 복원하기 위하여 벡터정보의 거리값을 계산하여 내 외부 복셀을 분리하고 중첩 부분에 대한 제거는 Z축을 기준으로 임계치를 두어 외형정보를 복원하기 위한 연구를 진행하였다. 본 연구의 결과는 3차원 스테레오 X-선 검색장치에 대한 스캔영상의 형상복원 알고리즘 개선을 통해 제한된 스캔환경에서 집적화된 대상체의 검색을 가능하도록 할 것이다.

Keywords

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