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contrast-limited adaptive histogram equalization method  (MathWorks Inc)


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    MathWorks Inc contrast-limited adaptive histogram equalization method
    Contrast Limited Adaptive Histogram Equalization 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/contrast+adaptive+histogram+equalization+method/pm22061557-154-4-7
    Average 90 stars, based on 1 article reviews
    contrast-limited adaptive histogram equalization method - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    other:

    Article Title: Decoding Natural Astrocyte Rhythms: Dynamic Actin Waves Result from Environmental Sensing by Primary Rodent Astrocytes.
    Article Snippet: Prior to processing, all STED images were adjusted using a contrast-limited adaptive histogram equalization (“adjusthisteq” function in MATLAB’s proprietary API (https://www.mathworks.com/help/images/ adaptive-histogram-equalization.html).

    Article Title: Characterization of Rutting Damage by the Change of Air-Void Characteristics in the Asphalt Mixture Based on Two-Dimensional Image Analysis
    Article Snippet: The cross-section image of the asphalt mixture specimen after gray histogram equalization is shown in b. Histogram equalization function in MATLAB is histeq (f, 256). (2) Image filtering: In this study, median filtering method is used to filter the image, which is very effective for filtering pulse interference and image scanning noise.

    Article Title: Classifying Kidney Disease in a Vervet Model Using Spatially Encoded Contrast-Enhanced Ultrasound Perfusion Parameters
    Article Snippet: Proposed image processing method flowgraph. . Kidney Contouring First, a frame was extracted and MATLAB ® image enhancement tools were used to brighten the image, including histogram equalization, image filtering, and image binarization.

    Article Title: Quantitative Measurement of Morphological Characteristics of PTFE Composite Transfer Films Based on Computer Graphics.
    Article Snippet: The histogram equalization algorithm is based on the probability distribution of the grey levels in the image, utilizing the histogram equalization function in MATLAB, which is calculated to generate a new image with a balanced probability distribution of the grey levels, resulting in a maximization of the entropy value, thereby enhancing the global contrast of the transfer film image, as shown in Figure 5.

    Article Title: Neurons Underlying Aggression-Like Actions That Are Shared by Both Males and Females in Drosophila
    Article Snippet: We then applied built-in MATLAB functions to perform contrast-limited adaptive histogram equalization on the foreground images followed by image sharpening ( ).

    Article Title: Study on the acoustic-thermal effects and damage models during uniaxial compression failure process of phosphorite with different H/D
    Article Snippet: Determining the size of ore pillars is crucial for the stability of mining structures and the recovery rate in mining design.. To investigate the damage characteristics of phosphorite under different height-to-diameter ratios (H/Di), uniaxial compression tests were conducted on phosphorite specimens with varying H/Di.. The effects of these H/ Di on the mechanical properties and acoustic-thermal signals were analyzed, leading to the establishment of a joint acoustic emission-infrared damage model.

    Article Title: Rapid Stiffness Mapping in Soft Biologic Tissues With Micrometer Resolution Using Optical Multifrequency Time-Harmonic Elastography.
    Article Snippet: To remove light intensity changes, each image was normalized using contrast-limited adaptive histogram equalization included in the Matlab function adapthisteq.

    Article Title: Quantitative Measurement of Morphological Characteristics of PTFE Composite Transfer Films Based on Computer Graphics
    Article Snippet: The histogram equalization algorithm is based on the probability distribution of the grey levels in the image, utilizing the histogram equalization function in MATLAB, which is calculated to generate a new image with a balanced probability distribution of the grey levels, resulting in a maximization of the entropy value, thereby enhancing the global contrast of the transfer film image, as shown in .



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    ( A,B ) A representative example of a preprocessed GFP-AHPH image by ( A ) background subtraction and ( B ) contrast enhancement (contrast <t>limited</t> <t>adaptive</t> <t>histogram</t> <t>equalization</t> method, Matlab) prior to computing the spatial autocorrelation function of the intensity. Scale bar, 5 μ ⁢ m . ( C ) Corresponding spatial autocorrelation function. ( D ) Corresponding radially averaged correlation function. The position of the first peak at ∼ 4 ⁢ μ ⁢ m indicates the characteristic spacing of AHPH foci in this embryo. DOI: http://dx.doi.org/10.7554/eLife.19595.015
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    ( A,B ) A representative example of a preprocessed GFP-AHPH image by ( A ) background subtraction and ( B ) contrast enhancement (contrast <t>limited</t> <t>adaptive</t> <t>histogram</t> <t>equalization</t> method, Matlab) prior to computing the spatial autocorrelation function of the intensity. Scale bar, 5 μ ⁢ m . ( C ) Corresponding spatial autocorrelation function. ( D ) Corresponding radially averaged correlation function. The position of the first peak at ∼ 4 ⁢ μ ⁢ m indicates the characteristic spacing of AHPH foci in this embryo. DOI: http://dx.doi.org/10.7554/eLife.19595.015
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    contrast-limited adaptive histogram equalization clahe method  (MathWorks Inc)
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    ( A,B ) A representative example of a preprocessed GFP-AHPH image by ( A ) background subtraction and ( B ) contrast enhancement (contrast <t>limited</t> <t>adaptive</t> <t>histogram</t> <t>equalization</t> method, Matlab) prior to computing the spatial autocorrelation function of the intensity. Scale bar, 5 μ ⁢ m . ( C ) Corresponding spatial autocorrelation function. ( D ) Corresponding radially averaged correlation function. The position of the first peak at ∼ 4 ⁢ μ ⁢ m indicates the characteristic spacing of AHPH foci in this embryo. DOI: http://dx.doi.org/10.7554/eLife.19595.015
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    Image Search Results


    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:

    ( A,B ) A representative example of a preprocessed GFP-AHPH image by ( A ) background subtraction and ( B ) contrast enhancement (contrast limited adaptive histogram equalization method, Matlab) prior to computing the spatial autocorrelation function of the intensity. Scale bar, 5 μ ⁢ m . ( C ) Corresponding spatial autocorrelation function. ( D ) Corresponding radially averaged correlation function. The position of the first peak at ∼ 4 ⁢ μ ⁢ m indicates the characteristic spacing of AHPH foci in this embryo. DOI: http://dx.doi.org/10.7554/eLife.19595.015

    Journal: eLife

    Article Title: Controlling contractile instabilities in the actomyosin cortex

    doi: 10.7554/eLife.19595

    Figure Lengend Snippet: ( A,B ) A representative example of a preprocessed GFP-AHPH image by ( A ) background subtraction and ( B ) contrast enhancement (contrast limited adaptive histogram equalization method, Matlab) prior to computing the spatial autocorrelation function of the intensity. Scale bar, 5 μ ⁢ m . ( C ) Corresponding spatial autocorrelation function. ( D ) Corresponding radially averaged correlation function. The position of the first peak at ∼ 4 ⁢ μ ⁢ m indicates the characteristic spacing of AHPH foci in this embryo. DOI: http://dx.doi.org/10.7554/eLife.19595.015

    Article Snippet: For the determination of the spacing in AHPH foci, the contrast of the fluorescence images was enhanced using the Contrast Limited Adaptive Histogram Equalization method using Matlab (Mathworks)(see ).

    Techniques: