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Merge remote-tracking branch 'upstream/3.4' into merge-3.4

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Alexander Alekhin
2019-04-05 19:02:24 +00:00
parent aa1359dc19 28925572f6
commit c9fc27b337
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doc/py_tutorials/py_imgproc/py_histograms/py_histogram_begins/py_histogram_begins.markdown
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@@ -41,8 +41,7 @@ you need 256 values to show the above histogram. But consider, what if you need
of pixels for all pixel values separately, but number of pixels in a interval of pixel values? say
for example, you need to find the number of pixels lying between 0 to 15, then 16 to 31, ..., 240 to 255.
You will need only 16 values to represent the histogram. And that is what is shown in example
given in [OpenCV Tutorials on
histograms](http://docs.opencv.org/doc/tutorials/imgproc/histograms/histogram_calculation/histogram_calculation.html#histogram-calculation).
given in @ref tutorial_histogram_calculation "OpenCV Tutorials on histograms".
So what you do is simply split the whole histogram to 16 sub-parts and value of each sub-part is the
sum of all pixel count in it. This each sub-part is called "BIN". In first case, number of bins