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Assessing Texture of Slub-Yarn Fabric Using Image Analysis
引用本文:卢雨正 高卫东 张星烨. Assessing Texture of Slub-Yarn Fabric Using Image Analysis[J]. 东华大学学报(英文版), 2007, 24(2): 219-221
作者姓名:卢雨正 高卫东 张星烨
作者单位:School of Textile and Garment, Southern Yangtze University, Wuxi , Jian g su 214122, China
摘    要:The application of digital image processing to the classification of the slub-yarn texture is discussed. Texture of the slub-yarn fabric is analyzed by using the texture analysis techniques. The influence of the slub-yarn parameters on the fabric texture is discussed. Results indicate that texture of the slub-yarn fabric can be reliably measured using gray level co-occurrence matrix (GLCM) analysis. The four indices of GLCM, the angular second moment, the contrast, the inverse difference moment and the correlation, are sensitive to the change of the slub-yarn parameters, and can be regarded as the major indices for the texture.

关 键 词:轻捻纱 质感 设计图 服装设计
文章编号:1672-5220(2007)02-0219-03
修稿时间:2006-08-20

Assessing Texture of Slub-Yarn Fabric Using Image Analysis
LU Yu-zheng,GAO Wei-dong,ZHANG Xing-ye. Assessing Texture of Slub-Yarn Fabric Using Image Analysis[J]. Journal of Donghua University, 2007, 24(2): 219-221
Authors:LU Yu-zheng  GAO Wei-dong  ZHANG Xing-ye
Affiliation:School of Textile and Garment, Southern Yangtze University, Wuxi, Jiangsu 214122, China
Abstract:The application of digital image processing to the classification of the slub-yarn texture is discussed. Texture of the slub-yam fabric is analyzed by using the texture analysis techniques. The influence of the slub-yarn parameters on the fabric texture is discussed. Results indicate that texture of the slub-yarn fabric can be reliably measured using gray level co-occurrence matrix (GLCM)analysis. The four indices of GLCM, the angular second moment, the contrast, the inverse difference moment and the correlation, are sensitive to the change of the slub-yarn parameters, and can be regarded as the major indices for the texture.
Keywords:slub-yarn fabric  image  texture  gray level co-occurrence matrix
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