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2-d gaussian smoothing filter  (MathWorks Inc)


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    MathWorks Inc 2-d gaussian smoothing filter
    2 D Gaussian Smoothing Filter, 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/2-d gaussian smoothing filter/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    2-d gaussian smoothing filter - by Bioz Stars, 2026-03
    90/100 stars

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    Blur levels for Lamp stimulus. Depiction of Test blur levels used for all experiments applied to the familiar stimulus used in Experiments 1–3, the silhouette of a lamp. The blur level refers to the standard deviation (in pixels) of the <t>Gaussian</t> distribution that gave its shape to the smoothing kernel used to blur the stimuli (see Methods for more explication). The blur level of the Standard stimulus was always 7 pixels.
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    Blur levels for Lamp stimulus. Depiction of Test blur levels used for all experiments applied to the familiar stimulus used in Experiments 1–3, the silhouette of a lamp. The blur level refers to the standard deviation (in pixels) of the Gaussian distribution that gave its shape to the smoothing kernel used to blur the stimuli (see Methods for more explication). The blur level of the Standard stimulus was always 7 pixels.

    Journal: Scientific Reports

    Article Title: Prior Experience Alters the Appearance of Blurry Object Borders

    doi: 10.1038/s41598-020-62728-y

    Figure Lengend Snippet: Blur levels for Lamp stimulus. Depiction of Test blur levels used for all experiments applied to the familiar stimulus used in Experiments 1–3, the silhouette of a lamp. The blur level refers to the standard deviation (in pixels) of the Gaussian distribution that gave its shape to the smoothing kernel used to blur the stimuli (see Methods for more explication). The blur level of the Standard stimulus was always 7 pixels.

    Article Snippet: Before each trial, each stimulus was blurred to its assigned blur level using MATLAB’s 2-D Gaussian filtering function imgaussfilt .

    Techniques: Standard Deviation