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  2. Histogram - Wikipedia

    en.wikipedia.org/wiki/Histogram

    The total area of a histogram used for probability density is always normalized to 1. If the length of the intervals on the x-axis are all 1, then a histogram is identical to a relative frequency plot. Histograms are sometimes confused with bar charts. In a histogram, each bin is for a different range of values, so altogether the histogram ...

  3. Image histogram - Wikipedia

    en.wikipedia.org/wiki/Image_histogram

    An image histogram is a type of histogram that acts as a graphical representation of the tonal distribution in a digital image. [1] It plots the number of pixels for each tonal value. By looking at the histogram for a specific image a viewer will be able to judge the entire tonal distribution at a glance.

  4. Dose-volume histogram - Wikipedia

    en.wikipedia.org/wiki/Dose-volume_histogram

    A dose-volume histogram (DVH) is a histogram relating radiation dose to tissue volume in radiation therapy planning. [1] DVHs are most commonly used as a plan evaluation tool and to compare doses from different plans or to structures. [ 2 ]

  5. File:Histogram example.svg - Wikipedia

    en.wikipedia.org/wiki/File:Histogram_example.svg

    The following other wikis use this file: Usage on af.wikipedia.org Diagram; Usage on bn.wikipedia.org রেখাচিত্র; Usage on da.wikipedia.org

  6. Histogram equalization - Wikipedia

    en.wikipedia.org/wiki/Histogram_equalization

    Histogram equalization will work the best when applied to images with much higher color depth than palette size, like continuous data or 16-bit gray-scale images. There are two ways to think about and implement histogram equalization, either as image change or as palette change.

  7. Normalization (image processing) - Wikipedia

    en.wikipedia.org/wiki/Normalization_(image...

    In image processing, normalization is a process that changes the range of pixel intensity values. Applications include photographs with poor contrast due to glare, for example.

  8. Histogram matching - Wikipedia

    en.wikipedia.org/wiki/Histogram_matching

    In image processing, histogram matching or histogram specification is the transformation of an image so that its histogram matches a specified histogram. [1] The well-known histogram equalization method is a special case in which the specified histogram is uniformly distributed .

  9. Plotting algorithms for the Mandelbrot set - Wikipedia

    en.wikipedia.org/wiki/Plotting_algorithms_for...

    The top row is a series of plots using the escape time algorithm for 10000, 1000 and 100 maximum iterations per pixel respectively. The bottom row uses the same maximum iteration values but utilizes the histogram coloring method. Notice how little the coloring changes per different maximum iteration counts for the histogram coloring method plots.