We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
There was an error while loading. Please reload this page.
2 parents fb3298f + 88f5e2f commit 3450528Copy full SHA for 3450528
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
46
47
So what you do is simply split the whole histogram to 16 sub-parts and value of each sub-part is the
48
sum of all pixel count in it. This each sub-part is called "BIN". In first case, number of bins
49
-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
50
**histSize** in OpenCV docs.
51
52
**DIMS** : It is the number of parameters for which we collect the data. In this case, we collect
0 commit comments