generic-library/opencv
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Merge pull request #2766 from akarsakov:pyr_border_constant

Browse Source
This commit is contained in:
Roman Donchenko 2014-06-26 17:28:44 +04:00 committed by OpenCV Buildbot
commit 1138fbb940
2 changed files with 24 additions and 10 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

28
modules/imgproc/doc/filtering.rst
View File

@ -558,6 +558,8 @@ Constructs the Gaussian pyramid for an image.
:param maxlevel: 0-based index of the last (the smallest) pyramid layer. It must be non-negative. :param maxlevel: 0-based index of the last (the smallest) pyramid layer. It must be non-negative.
:param borderType: Pixel extrapolation method (BORDER_CONSTANT don't supported). See :ocv:func:`borderInterpolate` for details.
The function constructs a vector of images and builds the Gaussian pyramid by recursively applying The function constructs a vector of images and builds the Gaussian pyramid by recursively applying
:ocv:func:`pyrDown` to the previously built pyramid layers, starting from ``dst[0]==src`` . :ocv:func:`pyrDown` to the previously built pyramid layers, starting from ``dst[0]==src`` .
@ -1343,12 +1345,16 @@ Blurs an image and downsamples it.
:param dst: output image; it has the specified size and the same type as ``src``. :param dst: output image; it has the specified size and the same type as ``src``.
:param dstsize: size of the output image; by default, it is computed as ``Size((src.cols+1)/2, (src.rows+1)/2)``, but in any case, the following conditions should be satisfied: :param dstsize: size of the output image.
.. math:: :param borderType: Pixel extrapolation method (BORDER_CONSTANT don't supported). See :ocv:func:`borderInterpolate` for details.
\begin{array}{l} By default, size of the output image is computed as ``Size((src.cols+1)/2, (src.rows+1)/2)``, but in any case, the following conditions should be satisfied:
| \texttt{dstsize.width} *2-src.cols| \leq 2 \\ | \texttt{dstsize.height} *2-src.rows| \leq 2 \end{array}
.. math::
\begin{array}{l}
| \texttt{dstsize.width} *2-src.cols| \leq 2 \\ | \texttt{dstsize.height} *2-src.rows| \leq 2 \end{array}
The function performs the downsampling step of the Gaussian pyramid construction. First, it convolves the source image with the kernel: The function performs the downsampling step of the Gaussian pyramid construction. First, it convolves the source image with the kernel:
@ -1358,8 +1364,6 @@ The function performs the downsampling step of the Gaussian pyramid construction
Then, it downsamples the image by rejecting even rows and columns. Then, it downsamples the image by rejecting even rows and columns.
pyrUp pyrUp
----- -----
Upsamples an image and then blurs it. Upsamples an image and then blurs it.
@ -1376,12 +1380,16 @@ Upsamples an image and then blurs it.
:param dst: output image. It has the specified size and the same type as ``src`` . :param dst: output image. It has the specified size and the same type as ``src`` .
:param dstsize: size of the output image; by default, it is computed as ``Size(src.cols*2, (src.rows*2)``, but in any case, the following conditions should be satisfied: :param dstsize: size of the output image.
.. math:: :param borderType: Pixel extrapolation method (only BORDER_DEFAULT supported). See :ocv:func:`borderInterpolate` for details.
\begin{array}{l} By default, size of the output image is computed as ``Size(src.cols*2, (src.rows*2)``, but in any case, the following conditions should be satisfied:
| \texttt{dstsize.width} -src.cols*2| \leq ( \texttt{dstsize.width} \mod 2) \\ | \texttt{dstsize.height} -src.rows*2| \leq ( \texttt{dstsize.height} \mod 2) \end{array}
.. math::
\begin{array}{l}
| \texttt{dstsize.width} -src.cols*2| \leq ( \texttt{dstsize.width} \mod 2) \\ | \texttt{dstsize.height} -src.rows*2| \leq ( \texttt{dstsize.height} \mod 2) \end{array}
The function performs the upsampling step of the Gaussian pyramid construction, though it can actually be used to construct the Laplacian pyramid. First, it upsamples the source image by injecting even zero rows and columns and then convolves the result with the same kernel as in The function performs the upsampling step of the Gaussian pyramid construction, though it can actually be used to construct the Laplacian pyramid. First, it upsamples the source image by injecting even zero rows and columns and then convolves the result with the same kernel as in
:ocv:func:`pyrDown` multiplied by 4. :ocv:func:`pyrDown` multiplied by 4.

6
modules/imgproc/src/pyramids.cpp
View File

@ -403,6 +403,8 @@ typedef void (*PyrFunc)(const Mat&, Mat&, int);
void cv::pyrDown( InputArray _src, OutputArray _dst, const Size& _dsz, int borderType ) void cv::pyrDown( InputArray _src, OutputArray _dst, const Size& _dsz, int borderType )
{ {
CV_Assert(borderType != BORDER_CONSTANT);
Mat src = _src.getMat(); Mat src = _src.getMat();
Size dsz = _dsz == Size() ? Size((src.cols + 1)/2, (src.rows + 1)/2) : _dsz; Size dsz = _dsz == Size() ? Size((src.cols + 1)/2, (src.rows + 1)/2) : _dsz;
_dst.create( dsz, src.type() ); _dst.create( dsz, src.type() );
@ -433,6 +435,8 @@ void cv::pyrDown( InputArray _src, OutputArray _dst, const Size& _dsz, int borde
void cv::pyrUp( InputArray _src, OutputArray _dst, const Size& _dsz, int borderType ) void cv::pyrUp( InputArray _src, OutputArray _dst, const Size& _dsz, int borderType )
{ {
CV_Assert(borderType == BORDER_DEFAULT);
Mat src = _src.getMat(); Mat src = _src.getMat();
Size dsz = _dsz == Size() ? Size(src.cols*2, src.rows*2) : _dsz; Size dsz = _dsz == Size() ? Size(src.cols*2, src.rows*2) : _dsz;
_dst.create( dsz, src.type() ); _dst.create( dsz, src.type() );
@ -463,6 +467,8 @@ void cv::pyrUp( InputArray _src, OutputArray _dst, const Size& _dsz, int borderT
void cv::buildPyramid( InputArray _src, OutputArrayOfArrays _dst, int maxlevel, int borderType ) void cv::buildPyramid( InputArray _src, OutputArrayOfArrays _dst, int maxlevel, int borderType )
{ {
CV_Assert(borderType != BORDER_CONSTANT);
Mat src = _src.getMat(); Mat src = _src.getMat();
_dst.create( maxlevel + 1, 1, 0 ); _dst.create( maxlevel + 1, 1, 0 );
_dst.getMatRef(0) = src; _dst.getMatRef(0) = src;