diff --git a/doc/py_tutorials/py_imgproc/py_thresholding/py_thresholding.markdown b/doc/py_tutorials/py_imgproc/py_thresholding/py_thresholding.markdown
index 7a200725de..ba47f49806 100644
--- a/doc/py_tutorials/py_imgproc/py_thresholding/py_thresholding.markdown
+++ b/doc/py_tutorials/py_imgproc/py_thresholding/py_thresholding.markdown
@@ -11,7 +11,7 @@ Simple Thresholding
 -------------------
 
 Here, the matter is straight-forward. For every pixel, the same threshold value is applied.
-If the pixel value is smaller than the threshold, it is set to 0, otherwise it is set to a maximum value.
+If the pixel value is smaller than or equal to the threshold, it is set to 0, otherwise it is set to a maximum value.
 The function **cv.threshold** is used to apply the thresholding.
 The first argument is the source image, which **should be a grayscale image**.
 The second argument is the threshold value which is used to classify the pixel values.