NDLI: Automatic identifying weave patterns for double-layer weft woven fabric

Content Provider	IEEE Xplore Digital Library
Author	Haihong Wu Mingmin Zhang Zhigeng Pan Haiming Yin
Copyright Year	2005
Description	Author affiliation: State Key Lab. of CAD & CG, Zhejiang Univ., China (Haihong Wu; Mingmin Zhang; Zhigeng Pan; Haiming Yin)
Abstract	Automatic identifying weave pattern is an important research area for computer aided design of textile products. Based on the scanned surface images, we have developed a semi-automatic identification system of weave patterns for double-layer weft woven necktie fabric. With manual partitioning, the complicated necktie fabric pattern is regarded as combination of several single-layer weave patterns. Image processing techniques are employed to segment the fabric color image, such as color clustering, morphological operation, etc. A novel algorithm to correct warp displacements is proposed to perform yarns segmentation more precisely. Finally, the integrated method to identify the double-layer woven fabric, which combines automatic identifying single-layer weave with human-computer interaction, is illustrated. The experimental results show the practicability and efficiency of our system.
Starting Page	117
Ending Page	122
File Size	230395
Page Count	6
File Format	PDF
ISBN	0769523927
DOI	10.1109/CGIV.2005.24
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Textile products Image processing Surface morphology Clustering algorithms Color Fabrics Product design Partitioning algorithms Morphological operations
Content Type	Text
Resource Type	Article

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