• Acta Optica Sinica
  • Vol. 38, Issue 3, 328002 (2018)
Tang Chen1、*, Chen Mingming1, Chen Xia2, Li Biyuan1, and Lei Zhenkun3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3788/AOS201838.0328002 Cite this Article Set citation alerts
    Tang Chen, Chen Mingming, Chen Xia, Li Biyuan, Lei Zhenkun. Information Extraction Methods Based on Variational Image Decomposition for Electronic Speckle Pattern Interferometry[J]. Acta Optica Sinica, 2018, 38(3): 328002 Copy Citation Text show less
    ESPI fringe images with various densities obtained in experiment. (a) Low-density fringe image; (b) high-density fringe image; (c)-(f) variable-density fringe images
    Fig. 1. ESPI fringe images with various densities obtained in experiment. (a) Low-density fringe image; (b) high-density fringe image; (c)-(f) variable-density fringe images
    Filtering results of ESPI fringe images corresponding to different models. (a) BL-Shearlet model; (b) Hilbert-Shearlet model; (c) TV-Hilbert-Shearlet model; (d) TV-G-Shearlet model; (e)(f) BL-Hilbert-Shearlet model
    Fig. 2. Filtering results of ESPI fringe images corresponding to different models. (a) BL-Shearlet model; (b) Hilbert-Shearlet model; (c) TV-Hilbert-Shearlet model; (d) TV-G-Shearlet model; (e)(f) BL-Hilbert-Shearlet model
    ESPI fringe image obtained by experiment
    Fig. 3. ESPI fringe image obtained by experiment
    Computed results of fringe orientation and fringe density by four methods for Fig. 3. (a)(b) GM; (c)(d) ADM; (e)(f) FFTM; (g)(h) VIDM
    Fig. 4. Computed results of fringe orientation and fringe density by four methods for Fig. 3. (a)(b) GM; (c)(d) ADM; (e)(f) FFTM; (g)(h) VIDM
    ESPI fringe image obtained by experiment
    Fig. 5. ESPI fringe image obtained by experiment
    Skeleton lines and corresponding superposition results of Fig. 5 obtained by different methods. (a)(b) CGVFs; (c)(d) OCGVFs; (e)(f) ADGVFs; (g)(h) VIDGVFs
    Fig. 6. Skeleton lines and corresponding superposition results of Fig. 5 obtained by different methods. (a)(b) CGVFs; (c)(d) OCGVFs; (e)(f) ADGVFs; (g)(h) VIDGVFs
    MethodFigureParameterTime /s
    GMFig. 4(a)w=611.18
    ADMFig. 4(c)w=312.30
    FFTMFig. 4(e)w=5976.87
    VIDMFig. 4(g)λ=1000,μ=4,wu=61,wv=743.59
    Table 1. Parameters and computation times of different methods for fringe orientation
    MethodFigureParameterTime /s
    GMFig. 4(b)w=55.17
    ADMFig. 4(d)w=732.54
    FFTMFig. 4(f)w=4370.93
    VIDMFig. 4(h)λ=1000,μ=4,wu=85,wv=6542.46
    Table 2. Parameters and computation times of different methods for fringe density
    MethodParameterTime /s
    CGVFsn=9055.40
    OCGVFsn=1500970.70
    ADGVFsn=1600232.33
    VIDGVFsλ=1000,μ=8,σ=3,N=52.66
    Table 3. Parameters and computation times of four different methods for skeleton line extraction
    Tang Chen, Chen Mingming, Chen Xia, Li Biyuan, Lei Zhenkun. Information Extraction Methods Based on Variational Image Decomposition for Electronic Speckle Pattern Interferometry[J]. Acta Optica Sinica, 2018, 38(3): 328002
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