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image recognition algorithm  (MathWorks Inc)


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    Structured Review

    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.
    Image Recognition Algorithm, 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/pmc07659981-34-13-17?v=MathWorks+Inc
    Average 90 stars, based on 1 article reviews
    image recognition algorithm - by Bioz Stars, 2026-07
    90/100 stars

    Images

    1) Product Images from "Multiscale Statistical Analysis of Massive Corrosion Pits Based on Image Recognition of High Resolution and Large Field-of-View Images"

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

    Journal: Materials

    doi: 10.3390/ma13214695

    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.
    Figure Legend 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.

    Techniques Used:



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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: