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otsu’s method  (MathWorks Inc)


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    MathWorks Inc otsu’s method
    Image process for a 7 mm probe with a nominal amplitude of 70%: (a) Cropped image (grayscale frame from the recorded video); (b) binarized image using <t>the</t> <t>adaptive</t> thresholding method; (c) binarized image using <t>Otsu’s</t> method; (d) final binary image obtained using a hybrid procedure of the two methods; (e) total vapor amount over time from the high-speed image sequence. The unit of measure of the y -axis is mm 2 since the backlighting visualization provides a 2D representation of the vapor phase.
    Otsu’s Method, 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/otsu%E2%80%99s+method+in/pmc12145992-149-14-5
    Average 90 stars, based on 1 article reviews
    otsu’s method - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "High-speed imaging and coumarin dosimetry of horn type ultrasonic reactors: Influence of probe diameter and amplitude"

    Article Title: High-speed imaging and coumarin dosimetry of horn type ultrasonic reactors: Influence of probe diameter and amplitude

    Journal: Ultrasonics Sonochemistry

    doi: 10.1016/j.ultsonch.2025.107362

    Image process for a 7 mm probe with a nominal amplitude of 70%: (a) Cropped image (grayscale frame from the recorded video); (b) binarized image using the adaptive thresholding method; (c) binarized image using Otsu’s method; (d) final binary image obtained using a hybrid procedure of the two methods; (e) total vapor amount over time from the high-speed image sequence. The unit of measure of the y -axis is mm 2 since the backlighting visualization provides a 2D representation of the vapor phase.
    Figure Legend Snippet: Image process for a 7 mm probe with a nominal amplitude of 70%: (a) Cropped image (grayscale frame from the recorded video); (b) binarized image using the adaptive thresholding method; (c) binarized image using Otsu’s method; (d) final binary image obtained using a hybrid procedure of the two methods; (e) total vapor amount over time from the high-speed image sequence. The unit of measure of the y -axis is mm 2 since the backlighting visualization provides a 2D representation of the vapor phase.

    Techniques Used: Sequencing

    Related Articles

    Imaging:

    Article Title: Assessing continuum plasticity postulates with grain stress and local strain measurements in triaxially compressed sand.
    Article Snippet: The full reconstructed image for the first load step of each experiment was first binarized to separate voids and grains using Otsu’s method in Matlab®.

    Article Title: Assessment of Collaborative Robot (Cobot)-Assisted Histotripsy for Venous Clot Ablation
    Article Snippet: The grayscale pixel values in the B-mode image associated with the lumen were determined using Otsu’s method in MATLAB ( ).

    Article Title: A novel method to characterize morphological dynamics and determine flashing jet regimes
    Article Snippet: Spray cone angle ( θ ) and width ( H ) have been widely used to characterize morphology of jets.. However, to a flashing jet, their capabilities are restrained by two flaws: (a) they are variable as a function of axial distance ( θ ( H ) = f ( x )), leading to nonunified θ or H at different axial locations, and (b) fail to precisely capture key characteristics of nonlinear boundary of expansion zone, resulting in their disability to determine the flashing jet regimes.. In this work, a power function | y | = kx 0.5 , in which x and y are axial and radical directions respectively, characterizing the nonlinear boundary of expansion zone of flashing jet is proposed.



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    Image Search Results


    Image process for a 7 mm probe with a nominal amplitude of 70%: (a) Cropped image (grayscale frame from the recorded video); (b) binarized image using the adaptive thresholding method; (c) binarized image using Otsu’s method; (d) final binary image obtained using a hybrid procedure of the two methods; (e) total vapor amount over time from the high-speed image sequence. The unit of measure of the y -axis is mm 2 since the backlighting visualization provides a 2D representation of the vapor phase.

    Journal: Ultrasonics Sonochemistry

    Article Title: High-speed imaging and coumarin dosimetry of horn type ultrasonic reactors: Influence of probe diameter and amplitude

    doi: 10.1016/j.ultsonch.2025.107362

    Figure Lengend Snippet: Image process for a 7 mm probe with a nominal amplitude of 70%: (a) Cropped image (grayscale frame from the recorded video); (b) binarized image using the adaptive thresholding method; (c) binarized image using Otsu’s method; (d) final binary image obtained using a hybrid procedure of the two methods; (e) total vapor amount over time from the high-speed image sequence. The unit of measure of the y -axis is mm 2 since the backlighting visualization provides a 2D representation of the vapor phase.

    Article Snippet: Two different functions available on Matlab were used: the adaptive thresholding method and the Otsu’s method , .

    Techniques: Sequencing

    Comparison of segmentation results obtained by three different image segmentation methods in the R-T plane of a local latewood region within an oak growth ring, i.e., the Local Chan-Vese method (red dashed line), the Global Chan-Vese method (yellow dotted line), and Otsu’s grey level thresholding method (blue solid line). a Greyscale image with high phase contrast between cell cavities (black/dark grey) and cell walls (medium grey/light grey). b Greyscale image with medium phase contrast between cell cavities (dark grey/medium grey) and cell walls (medium grey/light grey). The contrast and variation in grey scale levels defining the two figures above are representative of the entire scanning volume of samples A and B (colour figure online)

    Journal: Wood Science and Technology

    Article Title: Level set-based image segmentation of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mu$$\end{document} μ CT scanned oak micro-structures with an analysis of morphological features

    doi: 10.1007/s00226-025-01660-8

    Figure Lengend Snippet: Comparison of segmentation results obtained by three different image segmentation methods in the R-T plane of a local latewood region within an oak growth ring, i.e., the Local Chan-Vese method (red dashed line), the Global Chan-Vese method (yellow dotted line), and Otsu’s grey level thresholding method (blue solid line). a Greyscale image with high phase contrast between cell cavities (black/dark grey) and cell walls (medium grey/light grey). b Greyscale image with medium phase contrast between cell cavities (dark grey/medium grey) and cell walls (medium grey/light grey). The contrast and variation in grey scale levels defining the two figures above are representative of the entire scanning volume of samples A and B (colour figure online)

    Article Snippet: In addition, MATLAB allows using a standard version of Otsu’s grey level thresholding method, which is employed in the comparison study presented in Sect. "

    Techniques: Comparison