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matlab functions fspecial  (MathWorks Inc)


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    Structured Review

    MathWorks Inc matlab functions fspecial
    Illustrations showing the potential blurring effects of acuity and motion. Defocus and motion blur were done using MATLAB functions <t>fspecial</t> (for filter definition) and imfilter (to apply the filter to the image). Structural colours show weakly in this photograph; see electronic supplementary material, figures S1 and S2 for effects on structural colours and more details. ( a ) Six guppies seen at short distance (as in typical guppy courtship). ( b ) The same guppies seen at a distance (as by a predator). ( c ) Motion blur during the sigmoid courtship display in which the body is rapidly rotated along the body long axis, blurring vertically. This also has a strong effect on the structural colours because they only reflect strongly in certain directions, causing a strong flicker. ( d ) Motion blur when foraging or fleeing a predator, blurring horizontally. This kind of motion results in a lot less structural colour flicker because the long axis is not rotated very much, if at all. Note the loss of colour and luminance contrast due to acuity limits and note the very different appearances due to motion in different directions. Similar effects occur for structural colours (electronic supplementary material, figures S1 and S2). Guppies and their predators gather very different visual information.
    Matlab Functions Fspecial, 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/product/matlab+function+fspecial/pmc10244973-198-9-7
    Average 90 stars, based on 1 article reviews
    matlab functions fspecial - by Bioz Stars, 2026-11
    90/100 stars

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    1) Product Images from "How to generate and test hypotheses about colour: insights from half a century of guppy research"

    Article Title: How to generate and test hypotheses about colour: insights from half a century of guppy research

    Journal: Proceedings of the Royal Society B: Biological Sciences

    doi: 10.1098/rspb.2022.2492

    Illustrations showing the potential blurring effects of acuity and motion. Defocus and motion blur were done using MATLAB functions fspecial (for filter definition) and imfilter (to apply the filter to the image). Structural colours show weakly in this photograph; see electronic supplementary material, figures S1 and S2 for effects on structural colours and more details. ( a ) Six guppies seen at short distance (as in typical guppy courtship). ( b ) The same guppies seen at a distance (as by a predator). ( c ) Motion blur during the sigmoid courtship display in which the body is rapidly rotated along the body long axis, blurring vertically. This also has a strong effect on the structural colours because they only reflect strongly in certain directions, causing a strong flicker. ( d ) Motion blur when foraging or fleeing a predator, blurring horizontally. This kind of motion results in a lot less structural colour flicker because the long axis is not rotated very much, if at all. Note the loss of colour and luminance contrast due to acuity limits and note the very different appearances due to motion in different directions. Similar effects occur for structural colours (electronic supplementary material, figures S1 and S2). Guppies and their predators gather very different visual information.
    Figure Legend Snippet: Illustrations showing the potential blurring effects of acuity and motion. Defocus and motion blur were done using MATLAB functions fspecial (for filter definition) and imfilter (to apply the filter to the image). Structural colours show weakly in this photograph; see electronic supplementary material, figures S1 and S2 for effects on structural colours and more details. ( a ) Six guppies seen at short distance (as in typical guppy courtship). ( b ) The same guppies seen at a distance (as by a predator). ( c ) Motion blur during the sigmoid courtship display in which the body is rapidly rotated along the body long axis, blurring vertically. This also has a strong effect on the structural colours because they only reflect strongly in certain directions, causing a strong flicker. ( d ) Motion blur when foraging or fleeing a predator, blurring horizontally. This kind of motion results in a lot less structural colour flicker because the long axis is not rotated very much, if at all. Note the loss of colour and luminance contrast due to acuity limits and note the very different appearances due to motion in different directions. Similar effects occur for structural colours (electronic supplementary material, figures S1 and S2). Guppies and their predators gather very different visual information.

    Techniques Used:

    Related Articles

    other:

    Article Title: How to generate and test hypotheses about colour: insights from half a century of guppy research.
    Article Snippet: Defocus and motion blur were done using MATLAB functions fspecial ( for filter definition) and imfilter (to apply the filter to the image).

    Article Title: How to generate and test hypotheses about colour: insights from half a century of guppy research
    Article Snippet: Defocus and motion blur were done using MATLAB functions fspecial (for filter definition) and imfilter (to apply the filter to the image).

    Article Title: Enhanced Nanoparticle Recognition via Deep Learning-Accelerated Plasmonic Sensing
    Article Snippet: The filter was created using the fspecial(‘disk’, 1) function in MATLAB, which generates a disk filter with a radius of 1.

    Article Title: Excitable Rho dynamics control cell shape and motility by sequentially activating ERM proteins and actomyosin contractility.
    Article Snippet: Multiple images from multiple wells were averaged and subjected to circular image filtering using MATLAB functions imfilter and fspecial.

    Article Title: SSVEP-EEG Feature Enhancement Method Using an Image Sharpening Filter
    Article Snippet: Sharpening filtering of the EEG signal X was achieved using fspecial and imfilter, functions from the MATLAB library.

    Article Title: Enhanced medical image segmentation using novel level set evolution and efficient optimization
    Article Snippet: We used Matlab functions imfilter and fspecial for generating blur effects in grey scale images.

    Article Title: An optimization method for quantitative impedance tomography.
    Article Snippet: A near-field ultrasonic tomography method providing high resolution imaging for soft tissue in the reflection mode is reported.. When the Born approximation is valid, the main limitation of this method is that it requires an incident pulse with infinite bandwidth, whereas the incident pulses used in practice have a limited bandwidth, which makes quantitative reconstruction impossible.. The reconstructed image is qualitative in the sense that it is a band-pass filtered reconstruction of the impedance distribution.



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    Illustrations showing the potential blurring effects of acuity and motion. Defocus and motion blur were done using MATLAB functions <t>fspecial</t> (for filter definition) and imfilter (to apply the filter to the image). Structural colours show weakly in this photograph; see electronic supplementary material, figures S1 and S2 for effects on structural colours and more details. ( a ) Six guppies seen at short distance (as in typical guppy courtship). ( b ) The same guppies seen at a distance (as by a predator). ( c ) Motion blur during the sigmoid courtship display in which the body is rapidly rotated along the body long axis, blurring vertically. This also has a strong effect on the structural colours because they only reflect strongly in certain directions, causing a strong flicker. ( d ) Motion blur when foraging or fleeing a predator, blurring horizontally. This kind of motion results in a lot less structural colour flicker because the long axis is not rotated very much, if at all. Note the loss of colour and luminance contrast due to acuity limits and note the very different appearances due to motion in different directions. Similar effects occur for structural colours (electronic supplementary material, figures S1 and S2). Guppies and their predators gather very different visual information.
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    Illustrations showing the potential blurring effects of acuity and motion. Defocus and motion blur were done using MATLAB functions fspecial (for filter definition) and imfilter (to apply the filter to the image). Structural colours show weakly in this photograph; see electronic supplementary material, figures S1 and S2 for effects on structural colours and more details. ( a ) Six guppies seen at short distance (as in typical guppy courtship). ( b ) The same guppies seen at a distance (as by a predator). ( c ) Motion blur during the sigmoid courtship display in which the body is rapidly rotated along the body long axis, blurring vertically. This also has a strong effect on the structural colours because they only reflect strongly in certain directions, causing a strong flicker. ( d ) Motion blur when foraging or fleeing a predator, blurring horizontally. This kind of motion results in a lot less structural colour flicker because the long axis is not rotated very much, if at all. Note the loss of colour and luminance contrast due to acuity limits and note the very different appearances due to motion in different directions. Similar effects occur for structural colours (electronic supplementary material, figures S1 and S2). Guppies and their predators gather very different visual information.

    Journal: Proceedings of the Royal Society B: Biological Sciences

    Article Title: How to generate and test hypotheses about colour: insights from half a century of guppy research

    doi: 10.1098/rspb.2022.2492

    Figure Lengend Snippet: Illustrations showing the potential blurring effects of acuity and motion. Defocus and motion blur were done using MATLAB functions fspecial (for filter definition) and imfilter (to apply the filter to the image). Structural colours show weakly in this photograph; see electronic supplementary material, figures S1 and S2 for effects on structural colours and more details. ( a ) Six guppies seen at short distance (as in typical guppy courtship). ( b ) The same guppies seen at a distance (as by a predator). ( c ) Motion blur during the sigmoid courtship display in which the body is rapidly rotated along the body long axis, blurring vertically. This also has a strong effect on the structural colours because they only reflect strongly in certain directions, causing a strong flicker. ( d ) Motion blur when foraging or fleeing a predator, blurring horizontally. This kind of motion results in a lot less structural colour flicker because the long axis is not rotated very much, if at all. Note the loss of colour and luminance contrast due to acuity limits and note the very different appearances due to motion in different directions. Similar effects occur for structural colours (electronic supplementary material, figures S1 and S2). Guppies and their predators gather very different visual information.

    Article Snippet: Defocus and motion blur were done using MATLAB functions fspecial (for filter definition) and imfilter (to apply the filter to the image).

    Techniques: