• DocumentCode
    3288314
  • Title

    PCTV: a biologically- and psychologically-inspired edge and line detection

  • Author

    Kang, X. ; Cheung, P.Y.S. ; Yau, W.P. ; Hu, Y.

  • Author_Institution
    Dept. of Orthopaedics & Traumatology, Univ. of Hong Kong, Hong Kong, China
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    1621
  • Lastpage
    1624
  • Abstract
    A novel method for detecting edges and lines simultaneously and automatically is proposed. This method, based on phase congruency and tensor voting (hence PCTV), makes use of the properties of how edges and lines are built from the Fourier decomposition of an image, and how the primary visual cortex responds to them, instead of making assumptions on the intensity profiles of the regions near a feature. Experiments showed that the detection results were more consistent to the “ground truth” manually drawn by humans. For detecting edges, this method is superior to three commonly used detectors in that it reduces the production of false detections.
  • Keywords
    edge detection; neural nets; tensors; Fourier decomposition; PCTV; V1 neurons; edge detection; ground truth; intensity profiles; line detection; phase congruency; primary visual cortex; tensor voting; Detectors; Feature extraction; Image edge detection; Neurons; Tensile stress; Visualization; X-ray imaging; Edge detection; line detection; phase congruency; primary visual cortex (V1); tensor voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5648890
  • Filename
    5648890