• DocumentCode
    257686
  • Title

    Physics-inspired image edge detection

  • Author

    Asghari, Mohammad H. ; Jalali, Bahrain

  • Author_Institution
    Dept. of Electr. Eng., Univ. of California, Los Angeles, Los Angeles, CA, USA
  • fYear
    2014
  • fDate
    3-5 Dec. 2014
  • Firstpage
    293
  • Lastpage
    296
  • Abstract
    We describe a new computational approach to edge detection. Our digital algorithm emulates propagation of light through a physical medium with specific nonlinear diffractive property. The method uses the phase profile of the output complex-amplitude image to identify the edges with different strength in a digital image. This technique is related to the recently introduced Discrete Anamorphic Stretch Transform in which the magnitude of a similar transform was used for image compression. Experimental results shown here prove edge detection with excellent performance.
  • Keywords
    discrete transforms; edge detection; light diffraction; light propagation; digital algorithm; digital image; discrete anamorphic stretch transform; image phase profile; light propagation; nonlinear diffractive property; output complex-amplitude image; physics-inspired image edge detection; Big data; Frequency dependence; Image edge detection; Information processing; Kernel; Morphological operations; Transforms; Anamorphic Stretch Transform; Computational Phase Transform; Phase Stretch Transform; Time Stretch Dispersive Fourier Transform; data mining; machine learning; physics-based edge detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/GlobalSIP.2014.7032125
  • Filename
    7032125