• DocumentCode
    3497896
  • Title

    Scene image segmentation based on Perceptual Organization

  • Author

    Cheng, Chang ; Koschan, Andreas ; Page, David L. ; Abidi, Mongi A.

  • Author_Institution
    IRIS Lab., Univ. of Tennessee, Beijing, China
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    1801
  • Lastpage
    1804
  • Abstract
    We propose a novel scene image segmentation algorithm based on perceptual organization. We develop a perceptual organization model by quantitatively incorporating a list of Gestalt laws. The perceptual organization model can capture the non-accidental structural relations among the constituent parts of an object. The experimental results show that our proposed method outperformed two competing image segmentation approaches and achieved good segmentation quality on various natural scene environments.
  • Keywords
    image segmentation; object detection; Gestalt laws; boundary detection; natural scene environments; perceptual organization model; scene image segmentation algorithm; Buildings; Humans; Image segmentation; Iris; Jacobian matrices; Layout; Object detection; Psychology; Vehicles; Visual system; Boundary Detection; Boundary Energy; Image Segmentation; Perceptual Organization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5414627
  • Filename
    5414627