grayscale image complement Search Results


grayscale image complement  (MathWorks Inc)
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MathWorks Inc grayscale image complement
Demonstration of the object/background contrast change after each image pre-processing step (A) and (B) show the result of four processed regional images and the corresponding histograms of the rachis medulla from <xref ref-type=Figure 1 C after each step of the image pre-process protocol. The variation of the distributions of object and background signals after each step is displayed. Arrows indicate the reference grayscale levels for the parameter determination of the corresponding step. Scale bar, 50 μm. " width="250" height="auto" />
Grayscale Image Complement, 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
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Demonstration of the object/background contrast change after each image pre-processing step (A) and (B) show the result of four processed regional images and the corresponding histograms of the rachis medulla from <xref ref-type=Figure 1 C after each step of the image pre-process protocol. The variation of the distributions of object and background signals after each step is displayed. Arrows indicate the reference grayscale levels for the parameter determination of the corresponding step. Scale bar, 50 μm. " width="100%" height="100%">

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: Demonstration of the object/background contrast change after each image pre-processing step (A) and (B) show the result of four processed regional images and the corresponding histograms of the rachis medulla from Figure 1 C after each step of the image pre-process protocol. The variation of the distributions of object and background signals after each step is displayed. Arrows indicate the reference grayscale levels for the parameter determination of the corresponding step. Scale bar, 50 μm.

Article Snippet: Grayscale image complementation: To facilitate the gray level operation in the later image processing, which identifies the contours of cellular pore patches, the micro-image of the cross-section rachis tissue is first processed using the grayscale image complement (“imcomplement” toolbox in MATLAB).

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