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contrast-limited adaptive histogram equalization (clahe) algorithm  (MathWorks Inc)


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    MathWorks Inc contrast-limited adaptive histogram equalization (clahe) algorithm
    Contrast Limited Adaptive Histogram Equalization (Clahe) 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/contrast+adaptive+histogram+equalization(clahe)/pmc11190284-194-22-32
    Average 90 stars, based on 1 article reviews
    contrast-limited adaptive histogram equalization (clahe) algorithm - by Bioz Stars, 2026-11
    90/100 stars

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    other:

    Article Title: Topological defects in the nematic order of actin fibers as organization centers of Hydra morphogenesis
    Article Snippet: The resulting 2D projected images are further subject to contrast limited adaptive histogram equalization (CLAHE) in Matlab as described below.

    Article Title: Comparison of methods for estimating Young’s moduli of mortar specimens
    Article Snippet: For that reason, in the next step, the image slices of the reconstructed volume underwent contrast enhancement by applying the contrast-limited adaptive histogram equalization (CLAHE) algorithm and global histogram equalization, implemented in MATLAB.

    Article Title: Topological defects in the nematic order of actin fibres as organization centres of Hydra morphogenesis
    Article Snippet: The resulting 2D projected images are further subject to contrast limited adaptive histogram equalization (CLAHE) in MATLAB as described below.

    Article Title: A quantitative image-based protocol for morphological characterization of cellular solids in feather shafts
    Article Snippet: Image enhancement: To improve the contrast of the complemented image for later segmentation between the cellular pore patch and mesh network of cellular boarder, apply the contrast limited adaptive histogram equalization (CLAHE) enhancement method (“adapthisteq” toolbox in MATLAB) to the complement images.

    Article Title: Image quality evaluation for FIB-SEM images.
    Article Snippet: 1National University, Bogotá, Colombia 2RPTUKaiserslautern-Landau, Kaiserslautern, Germany.. 3Fraunhofer Institute of Industrial Mathematics, Kaiserslautern, Germany 4Institute of Nanotechnology (INT), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany 5Karlsruhe NanoMicro Facility (KNMFi), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany 6Research group in-situ electron microscopy, Joint Research Laboratory Nanomaterials, Department ofMaterials & Earth Sciences, Technical University Darmstadt, Darmstadt, Germany 7Institute for AppliedMaterials (IAM), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

    Article Title: Systems and methods for diagnosis of middle ear conditions and detection of analytes in the tympanic membrane
    Article Snippet: To obtain the bottom row of figures, contrast-limited adaptive histogram equalization (CLAHE) was performed in MATLAB®.

    Article Title: A time-resolved experimental–mathematical model for predicting the response of glioma cells to single-dose radiation therapy
    Article Snippet: A contrast-limited adaptive histogram equalization (CLAHE) [ 34 ] is then applied ( via ‘adapthisteq’ in MATLAB (MathWorks, Natick, MA, USA)) to increase the separation between the cells and background.

    Article Title: Leveraging data-driven self-consistency for high-fidelity gene expression recovery
    Article Snippet: Contrast-limited adaptive histogram equalization (CLAHE) - MATLAB adapthisteq. https://www.mathworks.com/help/images/ref/adapthisteq.html.



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    Image processing toolbox

    Journal: STAR Protocols

    Article Title: A quantitative image-based protocol for morphological characterization of cellular solids in feather shafts

    doi: 10.1016/j.xpro.2021.100661

    Figure Lengend Snippet: Image processing toolbox

    Article Snippet: Image enhancement: To improve the contrast of the complemented image for later segmentation between the cellular pore patch and mesh network of cellular boarder, apply the contrast limited adaptive histogram equalization (CLAHE) enhancement method (“adapthisteq” toolbox in MATLAB) to the complement images.

    Techniques: