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image processing algorithm for particle size recognition  (MathWorks Inc)


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    MathWorks Inc image processing algorithm for particle size recognition
    Image Processing Algorithm For Particle Size Recognition, 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/image+recognition+algorithm/10__1016_slash_j__jaerosci__2024__106355-118-9-15
    Average 90 stars, based on 1 article reviews
    image processing algorithm for particle size recognition - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    other:

    Article Title: Phased-array transducers for damage detection in aircraft structures*
    Article Snippet: doi: 10.1111/j.1460-2695.2008.01251.x Phased-array transducers for damage detection in aircraft structures∗

    Article Title: Multiscale Statistical Analysis of Massive Corrosion Pits Based on Image Recognition of High Resolution and Large Field-of-View Images
    Article Snippet: Sizes and locations of pits in the corrosion image were obtained using the image recognition algorithm in MATLAB software.

    Construct:

    Article Title: An adapted case-based reasoning system for design and manufacturing of tailored forming multi-material components
    Article Snippet: Newmanufacturing technologies need suitable designmethods to deal with the presented challenges.. Equally, designmethods must deliver innovative solutions and give a direction to the development of these manufacturing technologies.. One of these in-development technologies is tailored forming, a process-chain to manufacture higher-performance hybrid components.



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    MathWorks Inc image recognition algorithm
    Two-dimensional accumulation arrays of obtained by <t>image-recognition</t> method in MATLAB for ( a ) whole image and ( b ) enlarged image, with the corresponding three-dimensional accumulation arrays shown in ( c ) and ( d ). Local peaks in the 2D and 3D accumulation arrays correspond to the locations of pits.
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    Two-dimensional accumulation arrays of obtained by <t>image-recognition</t> method in MATLAB for ( a ) whole image and ( b ) enlarged image, with the corresponding three-dimensional accumulation arrays shown in ( c ) and ( d ). Local peaks in the 2D and 3D accumulation arrays correspond to the locations of pits.
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    Image Search Results


    Two-dimensional accumulation arrays of obtained by image-recognition method in MATLAB for ( a ) whole image and ( b ) enlarged image, with the corresponding three-dimensional accumulation arrays shown in ( c ) and ( d ). Local peaks in the 2D and 3D accumulation arrays correspond to the locations of pits.

    Journal: Materials

    Article Title: Multiscale Statistical Analysis of Massive Corrosion Pits Based on Image Recognition of High Resolution and Large Field-of-View Images

    doi: 10.3390/ma13214695

    Figure Lengend Snippet: Two-dimensional accumulation arrays of obtained by image-recognition method in MATLAB for ( a ) whole image and ( b ) enlarged image, with the corresponding three-dimensional accumulation arrays shown in ( c ) and ( d ). Local peaks in the 2D and 3D accumulation arrays correspond to the locations of pits.

    Article Snippet: Sizes and locations of pits in the corrosion image were obtained using the image recognition algorithm in MATLAB software.

    Techniques: