Transactions of the Society of Instrument and Control Engineers
Online ISSN : 1883-8189
Print ISSN : 0453-4654
ISSN-L : 0453-4654
Analysis of Knitted Fabric Structure using 3-D Voxel Data of X-ray CT Images
Toshihiro SHINOHARAJun-ya TAKAYAMAShinji OHYAMAAkira KOBAYASHI
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2005 Volume 41 Issue 11 Pages 879-885

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Abstract
In this paper, a novel method for analyzing a textile fabric structure, particularly a knitted fabric one, is proposed to obtain positional information regarding the yarns of the textile fabric using voxel data made of its X-ray computed tomography (CT) images. It is possible to reconstruct the positional relationships among the yarns from the positional information. The positional information is defined as a sequence of points on the center line of each yarn of the sample in this study, since the sequence can be regarded as the representative position of the yarn and robust against measurement errors. The sequence is estimated by tracing the yarn. The yarn is traced using a three-dimensional yarn model, which is moved along the yarn direction estimated by correlating with the yarn part of the voxel data. The trajectory of the center of the yarn model corresponds to the positional information of the yarn. The effectiveness of the proposed method is discussed by experimentally applying the method to voxel data of a knitted fabric of a net stitch.
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