Edge detection based on single-pixel imaging

J 2018

Edge detection based on single-pixel imaging

REN, Hongdou; Shengmei ZHAO and Jozef GRUSKA

Basic information

Original name

Edge detection based on single-pixel imaging

Authors

REN, Hongdou (156 China); Shengmei ZHAO (156 China) and Jozef GRUSKA (703 Slovakia, guarantor, belonging to the institution)

Edition

Optics Express, 2018, 1094-4087

Other information

Language

English

Type of outcome

Article in a journal

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

China

Confidentiality degree

is not subject to a state or trade secret

References:

URL

Impact factor

Impact factor: 3.561

RIV identification code

RIV/00216224:14330/18:00102587

Organization unit

Faculty of Informatics

DOI

https://doi.org/10.1364/OE.26.005501

UT WoS

000427147200037

EID Scopus

2-s2.0-85042763724

Keywords in English

Edge detection; Fourier transforms; Frequency domain analysis; Imaging systems; Pixels; Spectroscopy

Abstract

In the original language

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.

Cite

REN, Hongdou; Shengmei ZHAO and Jozef GRUSKA. Edge detection based on single-pixel imaging. Optics Express. 2018, vol. 26, No 5, p. 5501-5511. ISSN 1094-4087. Available from: https://doi.org/10.1364/OE.26.005501.

@article{1414373,
   author = {Ren, Hongdou and Zhao, Shengmei and Gruska, Jozef},
   article_number = {5},
   doi = {https://doi.org/10.1364/OE.26.005501},
   keywords = {Edge detection; Fourier transforms; Frequency domain analysis; Imaging systems; Pixels; Spectroscopy},
   language = {eng},
   issn = {1094-4087},
   journal = {Optics Express},
   title = {Edge detection based on single-pixel imaging},
   url = {http://dx.doi.org/10.1364/OE.26.005501},
   volume = {26},
   year = {2018}
}

TY  - JOUR
ID  - 1414373
AU  - Ren, Hongdou - Zhao, Shengmei - Gruska, Jozef
PY  - 2018
TI  - Edge detection based on single-pixel imaging
JF  - Optics Express
VL  - 26
IS  - 5
SP  - 5501-5511
EP  - 5501-5511
SN  - 10944087
KW  - Edge detection
KW  - Fourier transforms
KW  - Frequency domain analysis
KW  - Imaging systems
KW  - Pixels
KW  - Spectroscopy
UR  - http://dx.doi.org/10.1364/OE.26.005501
N2  - 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.
ER  -

REN, Hongdou; Shengmei ZHAO and Jozef GRUSKA. Edge detection based on single-pixel imaging. \textit{Optics Express}. 2018, vol.~26, No~5, p.~5501-5511. ISSN~1094-4087. Available from: https://doi.org/10.1364/OE.26.005501.

Přehled o publikaci