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Edge detection based on single-pixel imaging

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F18%3A00102587" target="_blank" >RIV/00216224:14330/18:00102587 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1364/OE.26.005501" target="_blank" >http://dx.doi.org/10.1364/OE.26.005501</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1364/OE.26.005501" target="_blank" >10.1364/OE.26.005501</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Edge detection based on single-pixel imaging

  • Original language description

    In the paper, we propose a new edge detection schemes, based on a single-pixel imaging in the frequency domain. In SCHEME-I, special sinusoidal patterns for the x-direction edge and also y-direction edge of the unknown object are first designed. The frequency spectrum for the edge is then obtained using the a four-step phase-shifting technique with the designed sinusoidal patterns in a single-pixel imaging system. In SCHEME-II, the frequency spectrum of the unknown object is first obtained, then the frequency spectrum for the edge is obtained by calculations. The resulting edges are finally obtained by the inverse Fourier transform on their frequency spectrum. We have also verified the proposed schemes by experiments and numerical simulations. The results show that the proposed schemes can produce higher quality edges of character and also image objects. Comparing with SCHEME-II, the application of SCHEME-I to high frequency components has greatly improved signal-to-noise ratio of the received data in the bucket detector, resulting in better experimental results. Comparing with the edge detection scheme by speckle-shifting in ghost imaging systems, the proposed SCHEME-I shows an improvement in the signal-to-noise ratio. Since a single-pixel imaging system is used, the proposed schemes are capable of reconstructing edges from indirect measurements. The number of measurements required can be e ectively reduced due to the sparsity of natural images in the Fourier domain and the conjugate symmetry of real-valued signals’ Fourier spectrum.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Optics Express

  • ISSN

    1094-4087

  • e-ISSN

  • Volume of the periodical

    26

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    CN - CHINA

  • Number of pages

    11

  • Pages from-to

    5501-5511

  • UT code for WoS article

    000427147200037

  • EID of the result in the Scopus database

    2-s2.0-85042763724