제어로봇시스템학회:학술대회논문집

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Analysis of Knit Fabric Structure with its Voxel Data

  • Shinohara, T. (Department of Mechanical and Control Engineering, Graduate School of Science and Engineering, Tokyo Institute of Technology) ;
  • Takayama, J. (Department of Mechanical and Control Engineering, Graduate School of Science and Engineering, Tokyo Institute of Technology) ;
  • Ohyama, S. (Department of Mechanical and Control Engineering, Graduate School of Science and Engineering, Tokyo Institute of Technology) ;
  • Kobayashi, A. (Department of Mechanical and Control Engineering, Graduate School of Science and Engineering, Tokyo Institute of Technology)
  • Published : 2003.10.22
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Abstract

For identifying how a sample knit fabric is woven a method to obtain positional information of each yarn of the sample from voxel data made out of its x-ray CT images is newly proposed in this paper. The positional information is obtained by tracing the each yarn. The each yarn is traced by estimating a direction of the yarn in a certain small region in which the yarn can be regarded as straight and moving the region slightly along the estimated direction alternately. The yarn direction is estimated by correlating the voxel data in the region with a three-dimensional yarn model. The effectiveness of this method is confirmed by applying the method to voxel data made out of CT images of a knit fabric experimentally.

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