• DocumentCode
    3155061
  • Title

    Research on the intelligent identification method of wallpaper labeling in the interior decoration

  • Author

    Wang, Yeqin ; Wang, Yuqing

  • Author_Institution
    Huaiyin Inst. of Technol., Huai´´an, China
  • fYear
    2011
  • fDate
    16-18 April 2011
  • Firstpage
    682
  • Lastpage
    685
  • Abstract
    In order to realize the intelligent identification of wallpaper labeling by using computer vision method, an analysis method of wallpaper labeling texture is proposed based on gray level-gradient co-occurrence matrix (GLCM). First, it determines the key parameters of matrix, makes up suitable GLCM, which the feature parameters is extracted; next, it completes the feature selection of the fourteen parameters in order to reduce the computation and improve the describing ability; last, it designs the probabilistic neural network classifier to accomplish classify experiments, whose overall recognition rate can reach 89.6%, which suggests the method is effective and basically feasible.
  • Keywords
    computer vision; feature extraction; identification; image classification; image texture; neural nets; paper products; GLCM; computer vision method; feature extraction; feature selection; gray level-gradient co-occurrence matrix; intelligent identification method; interior decoration; probabilistic neural network classifier; wallpaper labeling texture analysis; Arrays; Artificial neural networks; Entropy; Feature extraction; Labeling; Pixel; Probabilistic logic; GLCM; feature selection; labeling; probabilistic neural network; wallpaper;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
  • Conference_Location
    XianNing
  • Print_ISBN
    978-1-61284-458-9
  • Type

    conf

  • DOI
    10.1109/CECNET.2011.5768577
  • Filename
    5768577