In this paper, a method to express individual woven yarns is proposed for structure analysis of a textile fabric with its three-dimensional (3D) X-ray computed tomography (CT) image. In this method, the voxels of the 3D CT image are segmented into each yarn by using the yarn position, which corresponds to the position of a sequence of the yarn center points, and the distribution of the filaments constructing the yarn. In order to obtain the yarn position, the filament orientation is first estimated at all the voxels in the 3D CT image by correlating the voxel values with a filament model. Each filament is then reconstructed by connecting the voxels of the filaments based on the estimated filament orientation. Each yarn is then reconstructed by binding the reconstructed filaments using a dissimilarity between two filaments. Finally, the yarn position is obtained by thinning the reconstructed yarns. The voxels of the 3D CT image are segmented into each yarn based on a clustering method using the Mahalanobis distance between the voxel and the obtained yarn center point considering the distribution of the filaments. Each individual yarn is expressed by the volume-rendering technique with the segmented voxels. The effectiveness of the proposed yarn expression method is confirmed by experimentally applying this method to the 3D image of a plain knitted fabric.
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