• DocumentCode
    477902
  • Title

    An Image Matching Recognition Approach Based on ICM Icon

  • Author

    Yu, Ruixing ; Zhu, Bing ; Zhang, Ke ; Lv, Meibo

  • Author_Institution
    Northwestern Polytech. Univ., Xian
  • Volume
    4
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    20
  • Lastpage
    23
  • Abstract
    The scale and rotation change of target make the effect of image matching recognition worse. In order to resolve this problem, a novel recognition algorithm based on intersecting cortical model (ICM) icon was introduced, which provides an invariant representation of the object´s rotation, scaling and translation. First, the real-time map and the reference map were input to ICM model to get icons. Then, similarity is analyzed between two icons to realize object matching recognition. This algorithm not only works well when the target has the scale change or rotation, but also has the low operation cost. Last, the experiments show the new method´s effectiveness and superiority.
  • Keywords
    image matching; image matching recognition approach; intersecting cortical model icon; invariant representation; reference map; Brain modeling; Costs; Educational institutions; Fuzzy systems; Image matching; Image processing; Image recognition; Neural networks; Neurons; Target recognition; icon; intersecting cortical model (ICM); invariant feature; matching; target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
  • Conference_Location
    Jinan Shandong
  • Print_ISBN
    978-0-7695-3305-6
  • Type

    conf

  • DOI
    10.1109/FSKD.2008.650
  • Filename
    4666347