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two-dimensional image correlation coefficient  (MathWorks Inc)


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    MathWorks Inc two-dimensional image correlation coefficient
    Stimulus-image correlation. (A) Schematic representation of the calculation of image correlation coefficients as a metric for retinal image quality. The two-dimensional image correlation <t>coefficient</t> is obtained by computing the cross-correlation for two stimuli, one convolved with the diffraction limited PSF, the other one convolved with the eye's individual PSF. (B) Stimulus image correlation coefficients are plotted as a function of Landolt (left)/Vernier (right) acuity thresholds (n = 31). Data points of the two subjects with the highest and lowest Strehl ratio are plotted in light blue and magenta, respectively (compare ). Only Landolt acuity correlates significantly with the image correlation coefficients, shown in the lower left corner of each plot.
    Two Dimensional Image Correlation Coefficient, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/two-dimensional image correlation coefficient/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    two-dimensional image correlation coefficient - by Bioz Stars, 2026-04
    90/100 stars

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    1) Product Images from "Habitual higher order aberrations affect Landolt but not Vernier acuity"

    Article Title: Habitual higher order aberrations affect Landolt but not Vernier acuity

    Journal: Journal of Vision

    doi: 10.1167/19.5.11

    Stimulus-image correlation. (A) Schematic representation of the calculation of image correlation coefficients as a metric for retinal image quality. The two-dimensional image correlation coefficient is obtained by computing the cross-correlation for two stimuli, one convolved with the diffraction limited PSF, the other one convolved with the eye's individual PSF. (B) Stimulus image correlation coefficients are plotted as a function of Landolt (left)/Vernier (right) acuity thresholds (n = 31). Data points of the two subjects with the highest and lowest Strehl ratio are plotted in light blue and magenta, respectively (compare ). Only Landolt acuity correlates significantly with the image correlation coefficients, shown in the lower left corner of each plot.
    Figure Legend Snippet: Stimulus-image correlation. (A) Schematic representation of the calculation of image correlation coefficients as a metric for retinal image quality. The two-dimensional image correlation coefficient is obtained by computing the cross-correlation for two stimuli, one convolved with the diffraction limited PSF, the other one convolved with the eye's individual PSF. (B) Stimulus image correlation coefficients are plotted as a function of Landolt (left)/Vernier (right) acuity thresholds (n = 31). Data points of the two subjects with the highest and lowest Strehl ratio are plotted in light blue and magenta, respectively (compare ). Only Landolt acuity correlates significantly with the image correlation coefficients, shown in the lower left corner of each plot.

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    two-dimensional image correlation coefficient  (MathWorks Inc)
    90
    MathWorks Inc two-dimensional image correlation coefficient
    Stimulus-image correlation. (A) Schematic representation of the calculation of image correlation coefficients as a metric for retinal image quality. The two-dimensional image correlation <t>coefficient</t> is obtained by computing the cross-correlation for two stimuli, one convolved with the diffraction limited PSF, the other one convolved with the eye's individual PSF. (B) Stimulus image correlation coefficients are plotted as a function of Landolt (left)/Vernier (right) acuity thresholds (n = 31). Data points of the two subjects with the highest and lowest Strehl ratio are plotted in light blue and magenta, respectively (compare ). Only Landolt acuity correlates significantly with the image correlation coefficients, shown in the lower left corner of each plot.
    Two Dimensional Image Correlation Coefficient, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/two-dimensional image correlation coefficient/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    two-dimensional image correlation coefficient - by Bioz Stars, 2026-04
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Stimulus-image correlation. (A) Schematic representation of the calculation of image correlation coefficients as a metric for retinal image quality. The two-dimensional image correlation coefficient is obtained by computing the cross-correlation for two stimuli, one convolved with the diffraction limited PSF, the other one convolved with the eye's individual PSF. (B) Stimulus image correlation coefficients are plotted as a function of Landolt (left)/Vernier (right) acuity thresholds (n = 31). Data points of the two subjects with the highest and lowest Strehl ratio are plotted in light blue and magenta, respectively (compare ). Only Landolt acuity correlates significantly with the image correlation coefficients, shown in the lower left corner of each plot.

    Journal: Journal of Vision

    Article Title: Habitual higher order aberrations affect Landolt but not Vernier acuity

    doi: 10.1167/19.5.11

    Figure Lengend Snippet: Stimulus-image correlation. (A) Schematic representation of the calculation of image correlation coefficients as a metric for retinal image quality. The two-dimensional image correlation coefficient is obtained by computing the cross-correlation for two stimuli, one convolved with the diffraction limited PSF, the other one convolved with the eye's individual PSF. (B) Stimulus image correlation coefficients are plotted as a function of Landolt (left)/Vernier (right) acuity thresholds (n = 31). Data points of the two subjects with the highest and lowest Strehl ratio are plotted in light blue and magenta, respectively (compare ). Only Landolt acuity correlates significantly with the image correlation coefficients, shown in the lower left corner of each plot.

    Article Snippet: The two-dimensional image correlation coefficient (MATLAB, MathWorks, Natick, MA; 2-D correlation coefficient corr2 ) calculated between both images is then used as the retinal image quality metric.

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