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image processing module  (MathWorks Inc)


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    Structured Review

    MathWorks Inc image processing module
    Image Processing Module, 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+processing+module/pmc12093094-62-15-19
    Average 90 stars, based on 1 article reviews
    image processing module - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Effect of crystallization and packing pressure on the development of residual stresses on injection molded polypropylene samples
    Article Snippet: Thermoplastics processing usually involves the non-uniform cooling of molten polymer, which results in the presence of residual stresses in the final product.. The magnitude of these stresses can be high enough to induce severe shape changes in the product, as well as changes in the overall material performance.. Because of this, it is important to be able to accurately predict and measure them.

    Article Title: Coarse-Grained Modeling of Pore Dynamics on the Red Blood Cell Membrane under Large Deformations.
    Article Snippet: Then, the MATLAB (The MathWorks, Natick, MA) image processing module is used to measure the number and surface area of voided regions.

    Article Title: New insights into the role of porous microstructure on dynamic shear localization
    Article Snippet: Images obtained for all time steps are processed using the Image Processing module of MATLAB® to find the area of the specimen contained in the R - Θ plane in both top-view and bottom-view.

    Article Title: From Data to Design: An IoT-Based Novel Solution for Combating Distracted Driving and Speeding Events
    Article Snippet: Integrating the MATLAB-coded image processing module with the hardware, such as the Arduino UNO, was complex and multifaced.

    Article Title: Competitive growth kinetics of coexisting hydrogen bubbles on Ni electrodes: role of bubble nucleation density
    Article Snippet: For the analysis of bubble images on the electrode, we developed a program utilizing the image processing module of MATLAB (R 2022b) to digitize the captured images and extract parameters of bubble size (More details shown in the ESI ).

    Article Title: Experimental study of slaking properties of red-bed mudstones from the Three Gorges Reservoir area
    Article Snippet: The slake durability; grain quantity, size, roundness, and slake degree of red-bed mudstones are experimentally investigated using the slake durability test and the cyclic wetting and drying test.. Results indicate that the complete slaking process exhibits three distinct stages.. During the process, the slake durability index decreases linearly with increasing cycle number.

    Microscopy:

    Article Title: Characterization of the wax precipitation in Iranian crude oil based on wax appearance temperature (WAT): The influence of ultrasonic waves
    Article Snippet: In this study, the effect of ultrasonic waves on the wax appearance temperature (WAT) of a crude oil sample was investigated.. For this purpose, the crude oil was exposed to ultrasonic radiation at 2, 4, 6, 8, and 10 min. Then, the WAT of each sample was measured using the cross polarized microscope (CPM) method.. The WAT was reduced to 8 C and 12 C at 4–8 min and 10 min, respectively.

    Software:

    Article Title: Black tea withering moisture detection method based on convolution neural network confidence
    Article Snippet: Funding information Central Public-interest Scientific Institution Basal Research Fund, Grant/Award Number: 1610212018005; Science and Technology Innovation Project of Chinese Academy of Agricultural Sciences; National Key R&D Program of China, Grant/Award Numbers: 2018YFD0700500, 2017YFD0400802; National Natural Science Foundation of China, Grant/Award Number: 31972466 Abstract Deep learning method was applied to rapidly and nondestructively predict the moisture content in withered leaves.. In this study, a withering moisture detection method based on confidence of convolution neural network (CNN) was proposed.. Themethod used data augmentation to preprocess the original image.



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