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


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    MathWorks Inc contrast-limited adaptive histogram equalization clahe method
    Contrast Limited Adaptive Histogram Equalization Clahe 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/pm16624611-80-5-15
    Average 90 stars, based on 1 article reviews
    contrast-limited adaptive histogram equalization clahe method - by Bioz Stars, 2026-11
    90/100 stars

    Images

    Related Articles

    Imaging:

    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: 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: Evaluation of cancer tissue morphology via THz spectroscopic imaging: Human lung and small intestine malignancies
    Article Snippet: We investigate the potential of terahertz spectroscopic imaging for assessment of malignant tissues in human lung and small intestine using a reflection-mode time-domain spectroscopy system spanning the 60 GHz–2 THz band.. These two tissue groups are among the few that can be reached via an endoscopic sensor, thus potentially allowing for in-situ assessment of suspected tumors.. As an initial study toward this goal, we characterized formalin-fixed and paraffin-embedded tissue blocks using a commercially-available reflection-mode time domain spectroscopy system.

    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: The speed of FtsZ treadmilling is tightly regulated by membrane binding
    Article Snippet: For this step, we first smoothed the kymograph with a 2 nd order Savitzky-Golay filter and enhanced the contrast using a contrast-limited-adaptive-histogram-equalization (CLAHE) routine (MATLAB).

    Article Title: Uniaxial mechanical stretch properties correlated with three-dimensional microstructure of human dermal skin
    Article Snippet: To enhance image contrast, we used limited adaptive histogram equalization (CLAHE) as implemented in MatLab.

    Article Title: Hyperspectral evaluation of vasculature in induced peritonitis mouse models
    Article Snippet: Before segmenting the vessels, the contrast of the B V F image was enhanced using CLAHE adaptive histogram equalization implemented as adapthisteq function in MATLAB.

    Article Title: Uniaxial mechanical stretch properties correlated with three-dimensional microstructure of human dermal skin.
    Article Snippet: 2.4 Structural measurements of collagen and elastin fibers To enhance image contrast, we used limited adaptive histogram equalization (CLAHE) as implemented in MatLab.

    Control:

    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: 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: Evaluation of cancer tissue morphology via THz spectroscopic imaging: Human lung and small intestine malignancies
    Article Snippet: We investigate the potential of terahertz spectroscopic imaging for assessment of malignant tissues in human lung and small intestine using a reflection-mode time-domain spectroscopy system spanning the 60 GHz–2 THz band.. These two tissue groups are among the few that can be reached via an endoscopic sensor, thus potentially allowing for in-situ assessment of suspected tumors.. As an initial study toward this goal, we characterized formalin-fixed and paraffin-embedded tissue blocks using a commercially-available reflection-mode time domain spectroscopy system.

    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: The speed of FtsZ treadmilling is tightly regulated by membrane binding
    Article Snippet: For this step, we first smoothed the kymograph with a 2 nd order Savitzky-Golay filter and enhanced the contrast using a contrast-limited-adaptive-histogram-equalization (CLAHE) routine (MATLAB).

    Article Title: Uniaxial mechanical stretch properties correlated with three-dimensional microstructure of human dermal skin
    Article Snippet: To enhance image contrast, we used limited adaptive histogram equalization (CLAHE) as implemented in MatLab.

    Article Title: Hyperspectral evaluation of vasculature in induced peritonitis mouse models
    Article Snippet: Before segmenting the vessels, the contrast of the B V F image was enhanced using CLAHE adaptive histogram equalization implemented as adapthisteq function in MATLAB.

    Article Title: Uniaxial mechanical stretch properties correlated with three-dimensional microstructure of human dermal skin.
    Article Snippet: 2.4 Structural measurements of collagen and elastin fibers To enhance image contrast, we used limited adaptive histogram equalization (CLAHE) as implemented in MatLab.



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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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    MathWorks Inc algorithm realizing the contrast-limited adaptive histogram equalization (clahe) method
    ( 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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    MathWorks Inc contrast-limited adaptive histogram equalization clahe method
    ( 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
    Contrast Limited Adaptive Histogram Equalization Clahe 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/pm16624611-80-5-15
    Average 90 stars, based on 1 article reviews
    contrast-limited adaptive histogram equalization clahe method - by Bioz Stars, 2026-11
    90/100 stars
      Buy from Supplier

    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: