• DocumentCode
    2074354
  • Title

    Technological sheet region recognition of garment piece on sweater CAD

  • Author

    Wang, Xiuchen ; Hu, Luoyan

  • Author_Institution
    Sch. of Garment, Zhongyuan Univ. of Technol., Zhengzhou, China
  • fYear
    2008
  • fDate
    22-25 Nov. 2008
  • Firstpage
    604
  • Lastpage
    608
  • Abstract
    In this paper, a new computer pattern recognition method based on fuzzy cluster theory is presented. Firstly, node of piece figure date structure is found using ¿directional judgment method¿. The random pieces are classified to garment pieces, sleeve pieces, trousers pieces and so on using fuzzy theory, thus the pieces of sweater have an appropriate classifying to fit calculation of technological sheet. We also put forward knot mapping method which can divide a sweater piece into many of symmetry region which is named to technological sheet calculating region (TSCR), computer system can confirm final TSRCs according precision requirement of technological sheet. Finally, technological sheet of TSRCs which is recognized by computer is calculated by dimension of top and bottom border. Application of sweater CAD demonstrates this method can calculate rapidly the technological sheet of sweater pieces.
  • Keywords
    CAD/CAM; clothing industry; fuzzy set theory; pattern classification; pattern clustering; computer pattern recognition method; directional judgment method; fuzzy cluster theory; garment piece; knot mapping method; pattern classification; piece figure date structure; sweater CAD; technological sheet calculating region; technological sheet region recognition; Clothing; Data mining; Image recognition; Manufacturing; Mathematical model; Mathematics; Pattern analysis; Pattern recognition; Shape; Weaving; CAD; Garment Pieces; Recognition; Sweater; Technological Sheet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Industrial Design and Conceptual Design, 2008. CAID/CD 2008. 9th International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-3290-5
  • Electronic_ISBN
    978-1-4244-3291-2
  • Type

    conf

  • DOI
    10.1109/CAIDCD.2008.4730640
  • Filename
    4730640