• DocumentCode
    2267312
  • Title

    Biologically Motivated Salient Regions Detection Approach

  • Author

    Zhang, Qiaorong ; Xiao, Huimin

  • Author_Institution
    Coll. of Inf., Henan Univ. of Finance & Econ., Zhengzhou
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    1100
  • Lastpage
    1104
  • Abstract
    A biologically motivated salient regions detection approach is proposed to identify the salient regions within complex natural images. Multi-scale image features such as intensity, color and orientation are extracted to get some feature maps. The log spectra of the feature maps are analyzed in frequency spectrum domain and the spectra residual are extracted. Then the corresponding feature saliency maps are constructed in spatial domain and theses feature saliency maps are combined to an integrated saliency map. The salient regions are detected in terms of the integrated saliency map. Computer experimental results show that the proposed method successfully detects salient regions in many natural images and artificial images.
  • Keywords
    biology computing; feature extraction; image colour analysis; object detection; biologically motivated salient regions detection; complex natural images; feature maps extraction; frequency spectrum domain; integrated saliency map; multiscale image features; spectra residual; Biology computing; Computational complexity; Data mining; Educational institutions; Frequency domain analysis; Humans; Image analysis; Image processing; Information technology; Visual system; image processing; saliency map; salient regions detection; visual attention;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.372
  • Filename
    4739933