Yarn Segmentation Based on Filament Direction in 3-D CT Images for Structure Analysis of Textile Fabric
Yarn Segmentation Based on Filament Direction in 3-D CT Images for Structure Analysis of Textile Fabric
复制标题
基于 3D CT 图像中长丝方向的纱线分割，用于纺织面料的结构分析
DOI：
10.1109/iecon.2006.347927
复制
发表时间：
2006
期刊：
影响因子：
--
通讯作者：
A. Kobayashi
中科院分区：
文献类型：
--
作者：
T. Shinohara;J. Takayama;S. Ohyama;A. Kobayashi
在本文中，提出了一种新的方法来分析织物结构分割的纺织织物的每一根纱线从体素数据获得的X射线计算机断层扫描（CT）图像。为了分割每根纱线，首先通过将体素与细丝模型相关联来估计体素处纱线组成的细丝方向。其次，通过使用估计的细丝方向矢量的乘积作为相似性来聚类细丝的体素来重建每个细丝。然后，通过使用新定义为相异度的距离对重构的长丝进行聚类来重构每根纱线。因此，纺织织物的每根纱线被分段。通过对涤纶双股纱平纹织物的体素数据进行实验，验证了该方法的有效性。该方法能准确地分割每两股纱线
In this paper, a novel method for analyzing a textile fabric structure is proposed to segment each yarn of the textile fabric from voxel data obtained by its X-ray computed tomography (CT) images. In order to segment each yarn, the filament directions, which yarn consists of, at the voxels are firstly estimated by correlating the voxels with a filament model. Each filament is secondly reconstructed by clustering the voxels of the filaments using a product of the estimated filament direction vectors as a similarity. Then, each yarn is reconstructed by clustering the reconstructed filaments using a distance which is newly defined as a dissimilarity. Consequently, each yarn of the textile fabric is segmented. The effectiveness of this method is confirmed by experimentally applying the method to voxel data of a sample plain woven fabric, which is made of polyester two folded yarn. The each two folded yarn is correctly segmented by this method