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adaptive threshold  (MIPAR Software LLC)

 
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    MIPAR Software LLC adaptive threshold
    Adaptive Threshold, supplied by MIPAR Software LLC, 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/adaptive+thresholding/adaptive+threshold/pmc06843043-141-11-2
    Average 90 stars, based on 1 article reviews
    adaptive threshold - by Bioz Stars, 2026-11
    90/100 stars

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    other:

    Article Title: In vivo measurements of kidney glomerular number and size in healthy and Os /+ mice using MRI
    Article Snippet: Variables for MIPAR’s adaptive threshold were as follows: percentage, 56%, and window size, 15.



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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