• DocumentCode
    3040918
  • Title

    Image Retrieval Using the Modified Intersecting Cortical Model

  • Author

    Yuan, Wenjin ; Zhang, Xuming

  • Author_Institution
    Key Lab. of Image Process. & Intell. Control, Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2011
  • fDate
    14-17 Dec. 2011
  • Firstpage
    116
  • Lastpage
    119
  • Abstract
    The intersecting cortical model(ICM) is driven from the pulse-coupled neural networks (PCNN), and a lot of works have been done on it. In this paper, we have proposed a method, which is modified from the PCNN, to retrieval the image. This method uses the iteration times of the ICM as the feature, and we do it repeatedly. So we will get the feature vectors and utilize the features to retrieval the image. And the experimental results have proved the effectiveness of the proposed method. While the proposed method shows some advantages like the feature curves are linear and steady.
  • Keywords
    image retrieval; neural nets; image retrieval; intersecting cortical model; iteration time; pulse-coupled neural network; Computational modeling; Equations; Feature extraction; Firing; Mathematical model; Neurons; Time series analysis; image retrieval; intersecting cortical model; pulse-coupled neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation and Bio-Medical Instrumentation (ICBMI), 2011 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-1-4577-1152-7
  • Type

    conf

  • DOI
    10.1109/ICBMI.2011.66
  • Filename
    6131718