• DocumentCode
    2878482
  • Title

    Color Recognition Model Based on Multiple SVMs for Bobbin Sorting Machine

  • Author

    Mu Zhang ; Yufeng Jia

  • Author_Institution
    Electr. Eng. & Autom. Dept., Tianjin Polytech. Univ., Tianjin, China
  • Volume
    2
  • fYear
    2012
  • fDate
    28-29 Oct. 2012
  • Firstpage
    218
  • Lastpage
    221
  • Abstract
    Color recognition plays an important role during the process of bobbin sorting. a new multiple SVMs method is proposed to establish the color recognition model for bobbin sorting machine. the comparisons are done between the model based on new method and the models based on traditional methods. the experiments demonstrate that the new color recognition model has the best learning and generalization abilities.
  • Keywords
    image colour analysis; image recognition; materials handling equipment; production engineering computing; support vector machines; bobbin sorting machine; color recognition model; generalization ability; learning ability; multiple SVM method; support vector machines; Boosting; Data models; Image color analysis; Kernel; Sorting; Support vector machines; color recognitio; obbin sorting machine; support vector machine (SVM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-2646-9
  • Type

    conf

  • DOI
    10.1109/ISCID.2012.206
  • Filename
    6405969
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2878482