• DocumentCode
    3707318
  • Title

    Multi-scale bisector integrals: An invariant descriptor for accurate shape retrieval

  • Author

    Bin Wang;Yongsheng Gao

  • Author_Institution
    School of Information Engineering, Nanjing University of Finance and Economics, Nanjing 210046, China
  • fYear
    2015
  • Firstpage
    765
  • Lastpage
    769
  • Abstract
    A novel shape descriptor, termed multi-scale bisector integrals, is proposed in this paper. Different from the existing Radon transform based descriptors which integrate the shape image function over all the possible lines in its domain, the proposed method restrains the integrals only over a special class of lines, termed shape bisectors, for characterizing the essence of the shape. Integrating the shape image over the multi-orders of shape bisectors yields a multi-scale descriptor. The proposed descriptor is completely invariant to translation, scaling and rotation. The experimental results on the standard MEPG-7 CE-2 shape database demonstrate its superiority over the state-of-the-art approaches.
  • Keywords
    "Shape","Transforms","Radon","Feature extraction","Transform coding","Databases","Image color analysis"
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICIP.2015.7350902
  • Filename
    7350902