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Purpose: 2nd review cycle - final

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Elena Fedotova
2011-07-01 21:09:31 +00:00
parent 11a03c89a4
commit 7cc52490ec
2 changed files with 4 additions and 4 deletions
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modules/imgproc/doc/feature_detection.rst
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@@ -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
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@@ -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.