Purpose: 2nd review cycle - final

modules/imgproc/doc/feature_detection.rst

@@ -266,7 +266,7 @@ The function finds the most prominent corners in the image or in the specified i
     
 The function can be used to initialize a point-based tracker of an object.
 
-**Note**: If the function is called with different values ``A`` and ``B`` of the parameter ``qualityLevel`` , and ``A`` > {B}, the vector of returned corners with ``qualityLevel=A`` will be the prefix of the output vector with ``qualityLevel=B`` .
+.. note:: If the function is called with different values ``A`` and ``B`` of the parameter ``qualityLevel`` , and ``A`` > {B}, the vector of returned corners with ``qualityLevel=A`` will be the prefix of the output vector with ``qualityLevel=B`` .
 
 .. seealso::
 
@@ -340,7 +340,7 @@ Example: ::
         return 0;
     }
 
-**Note**: Usually the function detects the centers of circles well. However, it may fail to find correct radii. You can assist to the function by specifying the radius range ( ``minRadius`` and ``maxRadius`` ) if you know it. Or, you may ignore the returned radius, use only the center, and find the correct radius using an additional procedure.
+.. note:: Usually the function detects the centers of circles well. However, it may fail to find correct radii. You can assist to the function by specifying the radius range ( ``minRadius`` and ``maxRadius`` ) if you know it. Or, you may ignore the returned radius, use only the center, and find the correct radius using an additional procedure.
 
 .. seealso::
 

modules/imgproc/doc/structural_analysis_and_shape_descriptors.rst

@@ -67,7 +67,7 @@ The normalized central moments
 
     \texttt{nu} _{ji}= \frac{\texttt{mu}_{ji}}{\texttt{m}_{00}^{(i+j)/2+1}} .
 
-**Note**:
+.. note::
 :math:`\texttt{mu}_{00}=\texttt{m}_{00}`,
 :math:`\texttt{nu}_{00}=1` 
 :math:`\texttt{nu}_{10}=\texttt{mu}_{10}=\texttt{mu}_{01}=\texttt{mu}_{10}=0` , hence the values are not stored.
@@ -155,7 +155,7 @@ Finds contours in a binary image.
 The function retrieves contours from the binary image using the algorithm
 [Suzuki85]_. The contours are a useful tool for shape analysis and object detection and recognition. See ``squares.c`` in the OpenCV sample directory.
 
-**Note**:
+.. note::
 Source ``image`` is modified by this function.