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Otsu's method

In computer vision and image processing, Otsu's method, named after Nobuyuki Otsu (大津展之, Ōtsu Nobuyuki), is used to perform automatic image thresholding. In the simplest form, the algorithm returns a single intensity threshold that separate pixels into two classes – foreground and background. This threshold is determined by minimizing intra-class…

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Otsu's method

Limitations and variations

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Otsu's method

Nodes30
Edges29
Triples41
Avg. degree1.93
Density0.066667
Components1

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Otsu's method

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related to External links · 12
Otsu's method → GIMP-plugin, ImageJ, Implementation, ITKOtsu Thresholding, Java, Lecture, MATLABOtsu Thresholding, Otsu, Otsu's, Python, Scheme-based, Script-Fu
related to A variation for unbalanced images · 11
Otsu's method → Illingworth, In, Kittler, Occam's, One, Otsu, Otsu's, The Kittler, There, When, While
related to A variation for noisy images · 8
Otsu's method → At, Each, Here, L-1, Let, Otsu's, The, Then
related to Limitations and variations · 4
Otsu's method → In, Like, Otsu, Otsu's
related to MATLAB implementation · 3
Otsu's method → Image Processing Toolbox, Matlab, Otsu's
is a · 1
Otsu's method → one-dimensional discrete analogue of Fisher's discriminant analysis

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displaystyle method mu algorithm otsu's pixels threshold omega image histogram intensity thresholding classes sum pixel two variance end sigma text

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Otsu's methodis aone-dimensional discrete analogue of Fisher's discriminant analysis0.90text
OpenCVinstance ofPython libraries dedicated to image processing0.80text
Scikit-image provide built-in implementations of the algorithminstance ofPython libraries dedicated to image processing0.80text
Otsu's methodrelated to A variation for noisy imagesOtsu's0.60section
Otsu's methodrelated to A variation for noisy imagesHere0.60section
Otsu's methodrelated to A variation for noisy imagesAt0.60section
Otsu's methodrelated to A variation for noisy imagesLet0.60section
Otsu's methodrelated to A variation for noisy imagesThen0.60section
Otsu's methodrelated to A variation for noisy imagesEach0.60section
Otsu's methodrelated to A variation for noisy imagesThe0.60section
Otsu's methodrelated to A variation for noisy imagesL-10.60section
Otsu's methodrelated to A variation for unbalanced imagesWhen0.60section

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