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doc typo fixed

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Kirill Kornyakov 2012-01-03 13:30:21 +00:00
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modules/imgproc/doc/filtering.rst
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@ -9,7 +9,7 @@ Functions and classes described in this section are used to perform various line
:math:`(x,y)` . It means that the output image will be of the same size as the input image. Normally, the functions support multi-channel arrays, in which case every channel is processed independently. Therefore, the output image will also have the same number of channels as the input one.
Another common feature of the functions and classes described in this section is that, unlike simple arithmetic functions, they need to extrapolate values of some non-existing pixels. For example, if you want to smooth an image using a Gaussian
:math:`3 \times 3` filter, then, when processing the left-most pixels in each row, you need pixels to the left of them, that is, outside of the image. You can let these pixels be the same as the left-most image pixels ("replicated border" extrapolation method), or assume that all the non-existing pixels are zeros ("contant border" extrapolation method), and so on.
:math:`3 \times 3` filter, then, when processing the left-most pixels in each row, you need pixels to the left of them, that is, outside of the image. You can let these pixels be the same as the left-most image pixels ("replicated border" extrapolation method), or assume that all the non-existing pixels are zeros ("constant border" extrapolation method), and so on.
OpenCV enables you to specify the extrapolation method. For details, see the function :ocv:func:`borderInterpolate` and discussion of the ``borderType`` parameter in various functions below.