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Spell checked the documentation with VIM (issue #223)

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Ilya Lysenkov
2012-04-13 19:04:44 +00:00
parent 5d4c194502
commit 2619221331
49 changed files with 128 additions and 128 deletions
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4
modules/imgproc/doc/feature_detection.rst
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@@ -55,7 +55,7 @@ Calculates eigenvalues and eigenvectors of image blocks for corner detection.
:param borderType: Pixel extrapolation method. See :ocv:func:`borderInterpolate` .
For every pixel
:math:`p` , the function ``cornerEigenValsAndVecs`` considers a ``blockSize`` :math:`\times` ``blockSize`` neigborhood
:math:`p` , the function ``cornerEigenValsAndVecs`` considers a ``blockSize`` :math:`\times` ``blockSize`` neighborhood
:math:`S(p)` . It calculates the covariation matrix of derivatives over the neighborhood as:
.. math::
@@ -541,4 +541,4 @@ The corners can be found as local maximums of the functions, as shown below: ::
.. [Shi94] J. Shi and C. Tomasi. *Good Features to Track*. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 593-600, June 1994.
.. [Yuen90] Yuen, H. K. and Princen, J. and Illingworth, J. and Kittler, J., *Comparative study of Hough transform methods for circle finding*. Image Vision Comput. 8 1, pp 71–77 (1990)
.. [Yuen90] Yuen, H. K. and Princen, J. and Illingworth, J. and Kittler, J., *Comparative study of Hough transform methods for circle finding*. Image Vision Comput. 8 1, pp 71–77 (1990)

4
modules/imgproc/doc/filtering.rst
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@@ -715,13 +715,13 @@ Creates a non-separable linear filter engine.
:param delta: Value added to the filtered results before storing them.
:param bits: Number of the fractional bits. the parameter is used when the kernel is an integer matrix representing fixed-point filter coefficients.
:param bits: Number of the fractional bits. The parameter is used when the kernel is an integer matrix representing fixed-point filter coefficients.
:param rowBorderType: Pixel extrapolation method in the vertical direction. For details, see :ocv:func:`borderInterpolate`.
:param columnBorderType: Pixel extrapolation method in the horizontal direction.
:param borderValue: Border vaule used in case of a constant border.
:param borderValue: Border value used in case of a constant border.
The function returns a pointer to a 2D linear filter for the specified kernel, the source array type, and the destination array type. The function is a higher-level function that calls ``getLinearFilter`` and passes the retrieved 2D filter to the
:ocv:class:`FilterEngine` constructor.

4
modules/imgproc/doc/histograms.rst
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@@ -34,7 +34,7 @@ Calculates a histogram of a set of arrays.
:param ranges: Array of the ``dims`` arrays of the histogram bin boundaries in each dimension. When the histogram is uniform ( ``uniform`` =true), then for each dimension ``i`` it is enough to specify the lower (inclusive) boundary :math:`L_0` of the 0-th histogram bin and the upper (exclusive) boundary :math:`U_{\texttt{histSize}[i]-1}` for the last histogram bin ``histSize[i]-1`` . That is, in case of a uniform histogram each of ``ranges[i]`` is an array of 2 elements. When the histogram is not uniform ( ``uniform=false`` ), then each of ``ranges[i]`` contains ``histSize[i]+1`` elements: :math:`L_0, U_0=L_1, U_1=L_2, ..., U_{\texttt{histSize[i]}-2}=L_{\texttt{histSize[i]}-1}, U_{\texttt{histSize[i]}-1}` . The array elements, that are not between :math:`L_0` and :math:`U_{\texttt{histSize[i]}-1}` , are not counted in the histogram.
:param uniform: Flag indicatinfg whether the histogram is uniform or not (see above).
:param uniform: Flag indicating whether the histogram is uniform or not (see above).
:param accumulate: Accumulation flag. If it is set, the histogram is not cleared in the beginning when it is allocated. This feature enables you to compute a single histogram from several sets of arrays, or to update the histogram in time.
@@ -123,7 +123,7 @@ Calculates the back projection of a histogram.
:param hist: Input histogram that can be dense or sparse.
:param backProject: Destination back projection aray that is a single-channel array of the same size and depth as ``arrays[0]`` .
:param backProject: Destination back projection array that is a single-channel array of the same size and depth as ``arrays[0]`` .
:param ranges: Array of arrays of the histogram bin boundaries in each dimension. See :ocv:func:`calcHist` .

4
modules/imgproc/doc/miscellaneous_transformations.rst
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@@ -449,7 +449,7 @@ basic distances. Since the distance function should be symmetric,
all of the horizontal and vertical shifts must have the same cost (denoted as ``a`` ), all the diagonal shifts must have the
same cost (denoted as ``b`` ), and all knight's moves must have
the same cost (denoted as ``c`` ). For the ``CV_DIST_C`` and ``CV_DIST_L1`` types, the distance is calculated precisely,
whereas for ``CV_DIST_L2`` (Euclidian distance) the distance
whereas for ``CV_DIST_L2`` (Euclidean distance) the distance
can be calculated only with a relative error (a
:math:`5\times 5` mask
gives more accurate results). For ``a``,``b`` , and ``c`` , OpenCV uses the values suggested in the original paper:
@@ -722,7 +722,7 @@ Currently, the Otsu's method is implemented only for 8-bit images.
watershed
-------------
Performs a marker-based image segmentation using the watershed algrorithm.
Performs a marker-based image segmentation using the watershed algorithm.
.. ocv:function:: void watershed( InputArray image, InputOutputArray markers )

2
modules/imgproc/doc/motion_analysis_and_object_tracking.rst
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@@ -144,7 +144,7 @@ The function supports multi-channel images. Each channel is processed independen
phaseCorrelate
--------------
The function is used to detect translational shifts that occur between two images. The operation takes advantage of the Fourier shift theorem for detecting the translational shift in the frequency domain. It can be used for fast image registration as well as motion esitimation. For more information please see http://en.wikipedia.org/wiki/Phase\_correlation .
The function is used to detect translational shifts that occur between two images. The operation takes advantage of the Fourier shift theorem for detecting the translational shift in the frequency domain. It can be used for fast image registration as well as motion estimation. For more information please see http://en.wikipedia.org/wiki/Phase\_correlation .
Calculates the cross-power spectrum of two supplied source arrays. The arrays are padded if needed with :ocv:func:`getOptimalDFTSize`.

6
modules/imgproc/doc/planar_subdivisions.rst
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@@ -109,7 +109,7 @@ Point of an original or dual subdivision.
..
* id
This integer can be used to index auxillary data associated with each vertex of the planar subdivision.
This integer can be used to index auxiliary data associated with each vertex of the planar subdivision.
CalcSubdivVoronoi2D
-------------------
@@ -254,7 +254,7 @@ Returns the location of a point within a Delaunay triangulation.
:param edge: Output edge that the point belongs to or is located to the right of it.
:param vertex: Optional output vertex double pointer the input point coinsides with.
:param vertex: Optional output vertex double pointer the input point coincides with.
The function locates the input point within the subdivision. There are five cases:
@@ -280,7 +280,7 @@ The function locates the input point within the subdivision. There are five case
will contain a pointer to the vertex.
*
The point is outside the subdivsion reference rectangle. The function returns
The point is outside the subdivision reference rectangle. The function returns
``CV_PTLOC_OUTSIDE_RECT``
and no pointers are filled.

2
modules/imgproc/doc/structural_analysis_and_shape_descriptors.rst
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@@ -398,7 +398,7 @@ Finds the convex hull of a point set.
:param points: Input 2D point set, stored in ``std::vector`` or ``Mat``.
:param hull: Output convex hull. It is either an integer vector of indices or vector of points. In the first case, the ``hull`` elements are 0-based indices of the convex hull points in the original array (since the set of convex hull points is a subset of the original point set). In the second case, ``hull`` elements aree the convex hull points themselves.
:param hull: Output convex hull. It is either an integer vector of indices or vector of points. In the first case, the ``hull`` elements are 0-based indices of the convex hull points in the original array (since the set of convex hull points is a subset of the original point set). In the second case, ``hull`` elements are the convex hull points themselves.
:param storage: Output memory storage in the old API (``cvConvexHull2`` returns a sequence containing the convex hull points or their indices).