Evaluation of a Digital Image-signal Approach on the Automatic Measurement of Cotton Yarn Snarls

Bingang Xu, Xiaoming Tao, Charlotte Marion Murrells

Research output: Journal article publicationJournal articleAcademic researchpeer-review

10 Citations (Scopus)


This paper is the second part of a series reporting the recent development of a computerized method for the automatic measurement and recognition of yarn wet snarls from an image of snarled yarn samples captured in a water bath. In our earlier work, a digital image-signal approach for fully computerized yarn-snarl measurement was developed and the effects of various influencing factors on the recognition algorithms were numerically examined. In this paper, the feasibility and accuracy of the fully computerized method on the measurement of actual yarn wet snarls are evaluated through laboratory experiments. One hundred percent cotton ring spun single yarns of 7, 10, 16, and 20 Ne are prepared and used for the evaluation. In addition to the number of snarl turns per unit length, the snarl height and width of the yarn samples are also objectively measured by using the computerized method. The measurement results obtained by the computerized method are analyzed and compared with those measured manually by using a twist tester and an interactive computer method.
Original languageEnglish
Pages (from-to)1151-1159
Number of pages9
JournalTextile Research Journal
Issue number12
Publication statusPublished - 1 Jan 2010


  • image processing
  • signal processing
  • twist liveliness
  • yarn snarl

ASJC Scopus subject areas

  • Chemical Engineering (miscellaneous)
  • Polymers and Plastics


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