Edge detection based on single-pixel imaging

REN, Hongdou, Shengmei ZHAO a Jozef GRUSKA. Edge detection based on single-pixel imaging. Optics Express. 2018, roč. 26, č. 5, s. 5501-5511. ISSN 1094-4087. Dostupné z: https://dx.doi.org/10.1364/OE.26.005501.

Základní údaje

• Originální název: Edge detection based on single-pixel imaging
• Autoři: REN, Hongdou (156 Čína), Shengmei ZHAO (156 Čína) a Jozef GRUSKA (703 Slovensko, garant, domácí).
• Vydání: Optics Express, 2018, 1094-4087.

Další údaje

• Originální jazyk: angličtina
• Typ výsledku: Článek v odborném periodiku
• Obor: 10201 Computer sciences, information science, bioinformatics
• Stát vydavatele: Čína
• Utajení: není předmětem státního či obchodního tajemství
• WWW: URL
• Impakt faktor: Impact factor: 3.561
• Kód RIV: RIV/00216224:14330/18:00102587
• Organizační jednotka: Fakulta informatiky
• Doi: http://dx.doi.org/10.1364/OE.26.005501
• UT WoS: 000427147200037
• Klíčová slova anglicky: Edge detection; Fourier transforms; Frequency domain analysis; Imaging systems; Pixels; Spectroscopy
• Příznaky: Mezinárodní význam, Recenzováno

Anotace

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.