Target region location method applied in single-pixel imaging

被引:0
|
作者
Jiang, Hongzhi [1 ]
Zhu, Shuguang [1 ]
Zhao, Huijie [1 ]
Li, Xudong [1 ]
机构
[1] Beihang Univ, Sch Instrument Sci & Optoelect Engn, Key Lab Precis Optomechatron Technol, Minist Educ, Xueyuan Rd 37, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
single-pixel imaging; central slice theorem; edge detection; region location; DETECTORS;
D O I
10.1117/12.2282354
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
Single-pixel imaging (SPI) is a new method to obtain an image using a detector without spatial resolution. Owing to the excellent characteristics of anti-noise and high signal-to-noise ratio, SPI is applied to detect and locate the target region in the week illumination condition. In most previous target detection and location approaches, the original target needs to be imaged. However, the time consumption of image reconstruction for SPI is much larger than conventional imaging method, which indicates a low efficiency for target region location using SPI. In this paper, we propose a target region location method based on Fourier single-pixel imaging to locate the target without retrieving target image. The proposed method adopts the Fourier single-pixel imaging to obtain few Fourier coefficients of the target image, then the target region is located by the central slice theorem and edge detection algorithm. Experiment shows the proposed method has an excellent characteristic of low time consumption and can effectively locate the target region.
引用
收藏
页数:5
相关论文
共 50 条
  • [21] Single-pixel imaging and metasurface imaging (Invited)
    Zheng P.
    Liu Y.
    Liu H.
    Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2021, 50 (12):
  • [22] Principles and prospects for single-pixel imaging
    Edgar, Matthew P.
    Gibson, Graham M.
    Padgett, Miles J.
    NATURE PHOTONICS, 2019, 13 (01) : 13 - 20
  • [23] Compressed single-pixel photoacoustic imaging
    Guo, Yuning
    Li, Baowen
    Yin, Xiaobo
    2020 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO), 2020,
  • [24] High Fidelity Single-Pixel Imaging
    Deng, Chao
    Hu, Xuemei
    Li, Xiaoxu
    Suo, Jinli
    Zhang, Zhili
    Dai, Qionghai
    IEEE PHOTONICS JOURNAL, 2019, 11 (02):
  • [25] Single-pixel imaging of a translational object
    LI, Shijian
    Cai, Yan
    Wang, Yeliang
    Yao, Xu-Ri
    Zhao, Qing
    OPTICS EXPRESS, 2023, 31 (04) : 5547 - 5560
  • [26] Scanning single-pixel imaging lidar
    Huang, Jian
    LI, Zhicai
    Shi, Dongfeng
    Chen, Yafeng
    Yuan, Kee
    Hu, Shunxing
    Wang, Yingjian
    OPTICS EXPRESS, 2022, 30 (21) : 37484 - 37492
  • [27] Visual cryptography in single-pixel imaging
    Jiao, Shuming
    Feng, Jun
    Gao, Yang
    Lei, Ting
    Yuan, Xiaocong
    OPTICS EXPRESS, 2020, 28 (05) : 7301 - 7313
  • [28] DON based single-pixel imaging
    Wang, Zhirun
    Zhao, Wenjing
    Zhai, Aiping
    He, Peng
    Wang, Dong
    OPTICS EXPRESS, 2021, 29 (10) : 15463 - 15477
  • [29] Single-pixel compressive diffractive imaging
    Horisaki, Ryoichi
    Matsui, Hiroaki
    Egami, Riki
    Tanida, Jun
    APPLIED OPTICS, 2017, 56 (05) : 1353 - 1357
  • [30] Principles and prospects for single-pixel imaging
    Matthew P. Edgar
    Graham M. Gibson
    Miles J. Padgett
    Nature Photonics, 2019, 13 : 13 - 20