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Showing 1 - 20 results of 41 for search '(((("post processing algorithm") OR ("data processing algorithm"))) OR ("sediment size algorithm"))', query time: 0.58s Refine Results
  1. 1
    The reconstructed sectioned images of the pollen grain by the proposed SHT algorithm (a), and the FABEMD-HS algorithm (b).

    The reconstructed sectioned images of the pollen grain by the proposed SHT algorithm (a), and the FABEMD-HS algorithm (b). by Xing Zhou (469137)

    Published 2015
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  2. 2
    3-D reconstructed images of the mixed pollen grains by using the RMS algorithm (Left) and the SHT algorithm (Right).

    3-D reconstructed images of the mixed pollen grains by using the RMS algorithm (Left) and the SHT algorithm (Right). by Xing Zhou (469137)

    Published 2015
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  3. 3
    Flowcharts of the FABMED-HS algorithm (left side) and the SHT algorithm (right side).

    Flowcharts of the FABMED-HS algorithm (left side) and the SHT algorithm (right side). by Xing Zhou (469137)

    Published 2015
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  4. 4
    Raw image frames (a) (b) under structured illumination of the pollen grain with phase-shift by 2π/3, and the input image (c) obtained by subtracting (a) and (b).

    Raw image frames (a) (b) under structured illumination of the pollen grain with phase-shift by 2π/3, and the input image (c) obtained by subtracting (a) and (b). by Xing Zhou (469137)

    Published 2015
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  5. 5
    Scheme of the DMD-based LED-illumination optical sectioning SIM system.

    Scheme of the DMD-based LED-illumination optical sectioning SIM system. by Xing Zhou (469137)

    Published 2015
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  6. 6
    3-D reconstructed images of the mixed pollen grains by using the RMS algorithm (Left) and the SHT algorithm (Right).

    3-D reconstructed images of the mixed pollen grains by using the RMS algorithm (Left) and the SHT algorithm (Right). by Xing Zhou (469137)

    Published 2015
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  7. 7
    Representative optic-disc photography (ODP) of eye with tilted optic disc and parapapillary chorioretinal atrophy (PPA).

    Representative optic-disc photography (ODP) of eye with tilted optic disc and parapapillary chorioretinal atrophy (PPA). by Ahnul Ha (4691575)

    Published 2020
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  8. 8
    Example of fundus photography transferred from another institution as printed document.

    Example of fundus photography transferred from another institution as printed document. by Ahnul Ha (4691575)

    Published 2020
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  9. 9
    Validation results for representative test image sets.

    Validation results for representative test image sets. by Ahnul Ha (4691575)

    Published 2020
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  10. 10
    Training curve for deep-learning algorithm.

    Training curve for deep-learning algorithm. by Ahnul Ha (4691575)

    Published 2020
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  11. 11
    Principle of enhanced image formation via super-resolution generative adversarial network (SR-GAN).

    Principle of enhanced image formation via super-resolution generative adversarial network (SR-GAN). by Ahnul Ha (4691575)

    Published 2020
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  12. 12
    Architecture of generator and discriminator network.

    Architecture of generator and discriminator network. by Ahnul Ha (4691575)

    Published 2020
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  13. 13
    Customized image post-processing algorithm for maximized visibility of hemorrhage.

    Customized image post-processing algorithm for maximized visibility of hemorrhage. by Ahnul Ha (4691575)

    Published 2020
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  14. 14
    Representative optic-disc photography (ODP) of eye with optic disc hemorrhage (DH).

    Representative optic-disc photography (ODP) of eye with optic disc hemorrhage (DH). by Ahnul Ha (4691575)

    Published 2020
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  15. 15
    Representative optic-disc photography (ODP) reconstruction results and corresponding reference images.

    Representative optic-disc photography (ODP) reconstruction results and corresponding reference images. by Ahnul Ha (4691575)

    Published 2020
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  16. 16
    Scatter plot of delta mean opinion score (Δ MOS) against MOS of original optic-disc photography (ODP).

    Scatter plot of delta mean opinion score (Δ MOS) against MOS of original optic-disc photography (ODP). by Ahnul Ha (4691575)

    Published 2020
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  17. 17
    River plots before (A) and after (B) post-processing with the hidden Markov model applied for the entire study area and Bar plots of the gross (grey) and net (colour) change in each land cover class between 1990 and 2020 before (A) and after (B) post-processing for the entire study area with a hidden Markov model.

    River plots before (A) and after (B) post-processing with the hidden Markov model applied for the entire study area and Bar plots of the gross (grey) and net (colour) change in eac... by Keletso Moilwe (15345352)

    Published 2024
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  18. 18
    Combined HMM post-processing analyses of river plots and bar plots of the gross (grey) and net (colour) change in each land cover class (i.e. NVF, Aliens, Indigenous Forest, Grassland, and Mixed Woody Grassland) under their respective management classes (i.e. Barloworld/Commercial, Communal, Forestry/Conservation, and Plantations) between 1990 and 2020

    Combined HMM post-processing analyses of river plots and bar plots of the gross (grey) and net (colour) change in each land cover class (i.e. NVF, Aliens, Indigenous Forest, Grassl... by Glenn Moncrieff (3210312)

    Published 2024
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  19. 19
    Rapid Protein Global Fold Determination Using Ultrasparse Sampling, High-Dynamic Range Artifact Suppression, and Time-Shared NOESY

    Rapid Protein Global Fold Determination Using Ultrasparse Sampling, High-Dynamic Range Artifact Suppression, and Time-Shared NOESY by Brian E. Coggins (2023777)

    Published 2016
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  20. 20
    Rapid Protein Global Fold Determination Using Ultrasparse Sampling, High-Dynamic Range Artifact Suppression, and Time-Shared NOESY

    Rapid Protein Global Fold Determination Using Ultrasparse Sampling, High-Dynamic Range Artifact Suppression, and Time-Shared NOESY by Brian E. Coggins (2023777)

    Published 2016
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