A novel weave pattern encoding method using neighbor information and its applications

Liang Ma, George Baciu, Jin Lian hu, Jiahua Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)632-648
Number of pages17
JournalTextile Research Journal
Issue number6
Publication statusPublished - 1 Jan 2011


  • correction
  • encoding
  • repeat detection
  • searching
  • Weave pattern
  • weave type

ASJC Scopus subject areas

  • Chemical Engineering (miscellaneous)
  • Polymers and Plastics


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