• DocumentCode
    2677313
  • Title

    Garment image retrieval based on multi-features

  • Author

    A-Lin, Hou ; Liu-Qing, Zhao ; Dong-Cheng, Shi

  • Author_Institution
    Coll. of Comput. Sci. & Eng., Changchun Univ. of Technol., Changchun, China
  • Volume
    6
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    194
  • Lastpage
    197
  • Abstract
    In order to meet the requirements of users, a content-based image retrieval algorithm for electronic commerce has been investigated combining color features with shape features. The algorithm of image retrieval using both the invariant moment and the Fourier descriptor is proposed to retrieve the shape features of image. The secondary retrieval has been done in succession by use of modified color histogram. To avoid the influence of background, a method of image background elimination is proposed prior to the image retrieval using multi-features. Experimental results show that the algorithm is accuracy. The methods of garment image retrieval based on multi-features are promising to be useful for applications of online shopping.
  • Keywords
    Internet; clothing; content-based retrieval; electronic commerce; feature extraction; image colour analysis; image retrieval; Fourier descriptor; color features; color histogram; electronic commerce; garment content-based image retrieval; image background elimination; invariant moment; online shopping; shape features; Computational modeling; Magnetic resonance imaging; Magnetic separation; Rats; Shape; Shape measurement; Ultra wideband technology; background elimination; color histogram; image retrieval; invariant moment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-7957-3
  • Type

    conf

  • DOI
    10.1109/CMCE.2010.5609882
  • Filename
    5609882