• DocumentCode
    2404570
  • Title

    Application of image processing methods in CAD/CAM systems for knitting industry automation

  • Author

    Zaharieva-Stoyanova, Elena

  • Author_Institution
    Comput. Syst. & Technol. Dept., Tech. Univ. of Gabrovo, Bulgaria
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    55
  • Abstract
    This paper treats the problems related to image processing in CAD/CAM systems´ software in knitting industry automation. The graphics images and theirs processing are the base part from the CAD/CAM systems´ software viewpoint. The other most important part of it is the design procedures for an automatic creation of execution units control programs. In the knitting industry, these programs control the knitting machines for creation of determined knitting structures and products, which is closely related to object images. In this paper, the image processing methods for knitting industry automation are suggested. The used methods suggested in this paper are: transformation of gray level images to binary images; path tracing for recognition of digital straight line. The trace algorithm is extended by operations: translation of the current dot. This method is reliable in a CAD/CAM system for cotton knitting industry automation. The algorithm is used is the CAD/CAM system´s software.
  • Keywords
    CAD/CAM; image processing; process control; textile industry; CAD/CAM systems; digital straight line; graphics images; gray level images; image processing methods; knitting industry automation; path tracing; Application software; Automatic control; CADCAM; Computer aided manufacturing; Computer industry; Design automation; Electrical equipment industry; Image processing; Machinery production industries; Software systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2002. Proceedings. 2002 First International IEEE Symposium
  • Print_ISBN
    0-7803-7134-8
  • Type

    conf

  • DOI
    10.1109/IS.2002.1044228
  • Filename
    1044228