Experimental demonstration of edge detection by dielectric metasurfaces

Andrei Komar, Lei Xu, Rifat A. Aoni, Mohsen Rahmani, Andrey E. Miroshnichenko, Dragomir N. Neshev

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Metasurfaces offer unique opportunities for optical signal processing [1] and the design of neuromorphic optical networks [2] for image-processing. Among different image-processing operations, edge detection is one of the essential algorithms with practical applications in microscopy or autonomous systems. The edge detection removes the plain parts of an image, to keep only the edges where the intensity changes abruptly. As such, the processed image contains just silhouettes of the object, Fig. 1a. In microscopy, edge detection helps to identify the structure of cells, while in autonomous systems, such as cars or drones, the optical edge detection can reduce the volume of data to compute on board of the vehicle, making it work faster and safer.

    Original languageEnglish
    Title of host publication2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781728104690
    DOIs
    Publication statusPublished - Jun 2019
    Event2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019 - Munich, Germany
    Duration: 23 Jun 201927 Jun 2019

    Publication series

    Name2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019

    Conference

    Conference2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019
    Country/TerritoryGermany
    CityMunich
    Period23/06/1927/06/19

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