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Merge pull request #8134 from chrizandr:doc_typo

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Vadim Pisarevsky 2017-02-08 13:57:36 +00:00
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doc/py_tutorials/py_imgproc/py_histograms/py_histogram_begins/py_histogram_begins.markdown
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@ -46,7 +46,7 @@ histograms](http://docs.opencv.org/doc/tutorials/imgproc/histograms/histogram_ca
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
where 256 (one for each pixel) while in second case, it is only 16. BINS is represented by the term
were 256 (one for each pixel) while in second case, it is only 16. BINS is represented by the term
**histSize** in OpenCV docs.
**DIMS** : It is the number of parameters for which we collect the data. In this case, we collect