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2. Histogram matching - Wikipedia

   en.wikipedia.org/wiki/Histogram_matching

   An example of 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 .

3. Box plot - Wikipedia

   en.wikipedia.org/wiki/Box_plot

   Figure 2. Box-plot with whiskers from minimum to maximum Figure 3. Same box-plot with whiskers drawn within the 1.5 IQR value. A boxplot is a standardized way of displaying the dataset based on the five-number summary: the minimum, the maximum, the sample median, and the first and third quartiles.

4. 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.

5. 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 ...

6. Scale-invariant feature transform - Wikipedia

   en.wikipedia.org/wiki/Scale-invariant_feature...

   An orientation histogram with 36 bins is formed, with each bin covering 10 degrees. Each sample in the neighboring window added to a histogram bin is weighted by its gradient magnitude and by a Gaussian-weighted circular window with a that is 1.5 times that of the scale of the keypoint. The peaks in this histogram correspond to dominant ...

7. Violin plot - Wikipedia

   en.wikipedia.org/wiki/Violin_plot

   Violin plots are similar to box plots, except that they also show the probability density of the data at different values, usually smoothed by a kernel density estimator.A violin plot will include all the data that is in a box plot: a marker for the median of the data; a box or marker indicating the interquartile range; and possibly all sample points, if the number of samples is not too high.

8. Otsu's method - Wikipedia

   en.wikipedia.org/wiki/Otsu's_method

   This threshold is determined by minimizing intra-class intensity variance, or equivalently, by maximizing inter-class variance. [2] Otsu's method is a one-dimensional discrete analogue of Fisher's discriminant analysis, is related to Jenks optimization method, and is equivalent to a globally optimal k-means [3] performed on the intensity histogram.

9. Matching (graph theory) - Wikipedia

   en.wikipedia.org/wiki/Matching_(graph_theory)

   In some literature, the term complete matching is used. In the above figure, only part (b) shows a perfect matching. A perfect matching is also a minimum-size edge cover. Thus, the size of a maximum matching is no larger than the size of a minimum edge cover: ⁠ () ⁠. A graph can only contain a perfect matching when the graph has an even ...