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  2. Histogram - Wikipedia

    en.wikipedia.org/wiki/Histogram

    This histogram shows the number of cases per unit interval as the height of each block, so that the area of each block is equal to the number of people in the survey who fall into its category. The area under the curve represents the total number of cases (124 million). This type of histogram shows absolute numbers, with Q in thousands.

  3. File:Menggunakan Wikipedia dalam Pembelajaran-Seri 1.pdf

    en.wikipedia.org/wiki/File:Menggunakan_Wikipedia...

    Bahasa Indonesia: Modul ini adalah Panduan untuk pengajar program "Reading Wikipedia in the Classroom" yang telah dilokalkan ke bahasa Indonesia menjadi "Menggunakan Wikipedia dalam Pembelajaran" (Modul 1). "Reading Wikipedia in the Classroom" adalah program pengembangan profesional untuk guru sekolah menengah yang diinisiasi oleh tim ...

  4. Histogram equalization - Wikipedia

    en.wikipedia.org/wiki/Histogram_equalization

    Histogram equalization is a method in image processing of contrast adjustment using the image's histogram. Histograms of an image before and after equalization.

  5. Sturges's rule - Wikipedia

    en.wikipedia.org/wiki/Sturges's_rule

    Sturges's rule [1] is a method to choose the number of bins for a histogram.Given observations, Sturges's rule suggests using ^ = + ⁡ bins in the histogram. This rule is widely employed in data analysis software including Python [2] and R, where it is the default bin selection method.

  6. Otsu's method - Wikipedia

    en.wikipedia.org/wiki/Otsu's_method

    Otsu's method performs well when the histogram has a bimodal distribution with a deep and sharp valley between the two peaks. [ 6 ] Like all other global thresholding methods, Otsu's method performs badly in case of heavy noise, small objects size, inhomogeneous lighting and larger intra-class than inter-class variance. [ 7 ]

  7. Histogram of oriented gradients - Wikipedia

    en.wikipedia.org/wiki/Histogram_of_oriented...

    The histogram of oriented gradients (HOG) is a feature descriptor used in computer vision and image processing for the purpose of object detection.The technique counts occurrences of gradient orientation in localized portions of an image.

  8. Probability distribution fitting - Wikipedia

    en.wikipedia.org/wiki/Probability_distribution...

    Probability distribution fitting or simply distribution fitting is the fitting of a probability distribution to a series of data concerning the repeated measurement of a variable phenomenon.

  9. Color histogram - Wikipedia

    en.wikipedia.org/wiki/Color_histogram

    In image processing and photography, a color histogram is a representation of the distribution of colors in an image.For digital images, a color histogram represents the number of pixels that have colors in each of a fixed list of color ranges, that span the image's color space, the set of all possible colors.