• DocumentCode
    557799
  • Title

    Image analysis of standard photographs of pilled fabric

  • Author

    Chen, Xia ; Wang, Jun ; Li, Liqing

  • Author_Institution
    Key Lab. of Textile Sci. & Technol. of Minist. of Educ., Donghua Univ., Shanghai, China
  • Volume
    4
  • fYear
    2011
  • fDate
    15-17 Oct. 2011
  • Firstpage
    1903
  • Lastpage
    1906
  • Abstract
    An objective method for pilling evaluation in fabrics is developed from the image analysis of a set of standard photographs in this paper. The procedures involved in using the Fourier transform to remove fabric texture which interfere with pill recognition are demonstrated. The filtered image is segmented by a threshold under the assumption that the histogram can be simulated by Gaussian distribution. Pilling features including number of pills, area of pills, contrast and pill density are described and extracted. Three features are selected and normalized to be criterion for objective assessment. The grade of fabric pilling is assessed by use of the nearest neighbor algorithm. The experimental results of wool and blend fabric sample show the objective method is effective and feasible.
  • Keywords
    Fourier transforms; Gaussian distribution; fabrics; image recognition; image segmentation; image texture; production engineering computing; Fourier transform; Gaussian distribution; blend fabric sample; fabric pilling; fabric texture; image analysis; image segmentation; objective method; pill recognition; pilling evaluation; standard photographs; Fabrics; Feature extraction; Frequency domain analysis; Image analysis; Image reconstruction; Image segmentation; image analysis; objective assessment; pilling grade; standard photograph;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2011 4th International Congress on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-9304-3
  • Type

    conf

  • DOI
    10.1109/CISP.2011.6100530
  • Filename
    6100530