Purpose: 2nd review cycle - final

modules/imgproc/doc/miscellaneous_transformations.rst

@@ -462,7 +462,7 @@ gives more accurate results). For ``a``,``b`` , and ``c`` , OpenCV uses the valu
     ``CV_DIST_L2``  :math:`(5\times 5)`  a=1, b=1.4, c=2.1969 \
     ==============  ===================  ======================
 
-Typically, for a fast, coarse distance estimation ``CV_DIST_L2``,a
+Typically, for a fast, coarse distance estimation ``CV_DIST_L2``, a
 :math:`3\times 3` mask is used. For a more accurate distance estimation ``CV_DIST_L2`` , a
 :math:`5\times 5` mask or the precise algorithm is used.
 Note that both the precise and the approximate algorithms are linear on the number of pixels.

modules/imgproc/doc/structural_analysis_and_shape_descriptors.rst

@@ -14,7 +14,7 @@ Calculates all of the moments up to the third order of a polygon or rasterized s
 .. ocv:cfunction:: void cvMoments( const CvArr* array, CvMoments* moments, int binary=0 )
 .. ocv:pyoldfunction:: cv.Moments(array, binary=0) -> moments
 
-    :param array: A raster image (single-channel, 8-bit or floating-point 2D array) or an array ( :math:`1 \times N`  or  :math:`N \times 1` ) of 2D points (``Point``  or  ``Point2f`` ).
+    :param array: Raster image (single-channel, 8-bit or floating-point 2D array) or an array ( :math:`1 \times N`  or  :math:`N \times 1` ) of 2D points (``Point``  or  ``Point2f`` ).
 
     :param binaryImage: If it is true, all non-zero image pixels are treated as 1's. The parameter is used for images only.