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
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;
Conference_Titel :
Signal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on
Conference_Location :
Atlanta, GA
DOI :
10.1109/GlobalSIP.2014.7032125
