• DocumentCode
    467794
  • Title

    Tanning Leather Classification using an Improved Statistical Geometrical Feature Method

  • Author

    Wang, Ling ; Liu, Chang

  • Author_Institution
    Sichuan Normal Univ., Chengdu
  • Volume
    3
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    1765
  • Lastpage
    1768
  • Abstract
    Tanning is an important procedure in the leather production process. Tanning agent can change the physical properties and chemical compositions of leather, and ultimately alter the texture of the surface. In order to classify chrome tanning and vegetable tanning leather, this paper presents improved statistical geometrical features (ISGF) to proceed texture analysis for tanning leather and use two classifiers based on Fisher criterion and LVQ Net to compare chrome tanning and vegetable tanning leather, Our results suggest that ISGF can discriminate chrome tanning and vegetable tanning leather with less computation cost and more fit for tanning leather texture feature than SGF.
  • Keywords
    feature extraction; image classification; image texture; leather industry; production engineering computing; statistical analysis; tanning; Fisher criterion; LVQ Net; chemical composition; chrome tanning leather; leather production; statistical geometrical feature; surface texture; tanning agent; tanning leather classification; texture analysis; vegetable tanning leather; Chemicals; Cybernetics; Frequency; Gray-scale; Image coding; Machine learning; Noise reduction; Pixel; Production; Surface texture; Compactness; Fisher criterion; Irregularity; LVQ Net; Leather texture; Statistical geometrical features;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370433
  • Filename
    4370433