Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/7799
Title: A novel weave pattern encoding method using neighbor information and its applications
Authors: Ma, L
Baciu, G 
Hu, JL 
Zhang, J
Keywords: Correction
Encoding
Repeat detection
Searching
Weave pattern
Weave type
Issue Date: 2011
Publisher: SAGE Publications
Source: Textile research journal, 2011, v. 81, no. 6, p. 632-648 How to cite?
Journal: Textile research journal 
Abstract: Determination of features of weave patterns is a crucial task in practice, including determination of equivalent weave patterns, determination of weave type, repeat period detection, pattern correction, representation of fabric structures and pattern searching from a collection of weave patterns. Most previous research on the problems is based on binary matrix operations. In this paper, a simple and efficient encoding algorithm and its implementation are presented to reveal the hidden information in the binary matrix of a weave pattern and thus to find a solution to determine features of the weave pattern. By compiling the 32 components with different shapes of yarn cross-sections, it is possible to quickly produce the required weave geometries and weave textures at different levels of detail. A set of frequency matrices of a weave pattern can be considered as the fingerprint where each weave pattern is uniquely endowed with a set of frequency spectra. It therefore enables us to perform a weave pattern search in the database to locate weave geometries and weave textures. Our experiments report a satisfactory result on the problems.
URI: http://hdl.handle.net/10397/7799
ISSN: 0040-5175
EISSN: 1746-7748
DOI: 10.1177/0040517510387211
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