From 88f5e2f3f7b84edeac21dfdb96c96d026888268d Mon Sep 17 00:00:00 2001 From: chrizandr Date: Mon, 6 Feb 2017 16:05:48 +0530 Subject: [PATCH] Corrected typo in py_histogram_begins tutorial --- .../py_histogram_begins/py_histogram_begins.markdown | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/py_tutorials/py_imgproc/py_histograms/py_histogram_begins/py_histogram_begins.markdown b/doc/py_tutorials/py_imgproc/py_histograms/py_histogram_begins/py_histogram_begins.markdown index 540b0906ec..7d7eaac622 100644 --- a/doc/py_tutorials/py_imgproc/py_histograms/py_histogram_begins/py_histogram_begins.markdown +++ b/doc/py_tutorials/py_imgproc/py_histograms/py_histogram_begins/py_histogram_begins.markdown @@ -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