Merge pull request #795 from taka-no-me:move_imgproc_utils_to_core
This commit is contained in:
@@ -3460,3 +3460,101 @@ The function :ocv:func:`transpose` transposes the matrix ``src`` :
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\texttt{dst} (i,j) = \texttt{src} (j,i)
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.. note:: No complex conjugation is done in case of a complex matrix. It it should be done separately if needed.
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borderInterpolate
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-----------------
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Computes the source location of an extrapolated pixel.
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.. ocv:function:: int borderInterpolate( int p, int len, int borderType )
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.. ocv:pyfunction:: cv2.borderInterpolate(p, len, borderType) -> retval
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:param p: 0-based coordinate of the extrapolated pixel along one of the axes,
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likely <0 or >= ``len`` .
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:param len: Length of the array along the corresponding axis.
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:param borderType: Border type, one of the ``BORDER_*`` , except for ``BORDER_TRANSPARENT``
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and ``BORDER_ISOLATED`` . When ``borderType==BORDER_CONSTANT`` , the
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function always returns -1, regardless of ``p`` and ``len`` .
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The function computes and returns the coordinate of a donor pixel corresponding to the specified
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extrapolated pixel when using the specified extrapolation border mode. For example, if you use
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``BORDER_WRAP`` mode in the horizontal direction, ``BORDER_REFLECT_101`` in the vertical direction
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and want to compute value of the "virtual" pixel ``Point(-5, 100)`` in a floating-point image
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``img`` , it looks like: ::
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float val = img.at<float>(borderInterpolate(100, img.rows, BORDER_REFLECT_101),
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borderInterpolate(-5, img.cols, BORDER_WRAP));
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Normally, the function is not called directly. It is used inside :ocv:class:`FilterEngine`
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and :ocv:func:`copyMakeBorder` to compute tables for quick extrapolation.
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.. seealso::
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:ocv:class:`FilterEngine`,
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:ocv:func:`copyMakeBorder`
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copyMakeBorder
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--------------
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Forms a border around an image.
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.. ocv:function:: void copyMakeBorder( InputArray src, OutputArray dst, int top, int bottom, int left, int right, int borderType, const Scalar& value=Scalar() )
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.. ocv:pyfunction:: cv2.copyMakeBorder(src, top, bottom, left, right, borderType[, dst[, value]]) -> dst
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:param src: Source image.
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:param dst: Destination image of the same type as ``src`` and the
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size ``Size(src.cols+left+right, src.rows+top+bottom)`` .
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:param top:
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:param bottom:
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:param left:
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:param right: Parameter specifying how many pixels in each direction from the source image
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rectangle to extrapolate. For example, ``top=1, bottom=1, left=1, right=1``
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mean that 1 pixel-wide border needs to be built.
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:param borderType: Border type. See :ocv:func:`borderInterpolate` for details.
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:param value: Border value if ``borderType==BORDER_CONSTANT`` .
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The function copies the source image into the middle of the destination image. The areas to the
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left, to the right, above and below the copied source image will be filled with extrapolated pixels.
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This is not what :ocv:class:`FilterEngine` or filtering functions based on it do (they extrapolate
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pixels on-fly), but what other more complex functions, including your own, may do to simplify image
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boundary handling.
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The function supports the mode when ``src`` is already in the middle of ``dst`` . In this case, the
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function does not copy ``src`` itself but simply constructs the border, for example: ::
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// let border be the same in all directions
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int border=2;
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// constructs a larger image to fit both the image and the border
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Mat gray_buf(rgb.rows + border*2, rgb.cols + border*2, rgb.depth());
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// select the middle part of it w/o copying data
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Mat gray(gray_canvas, Rect(border, border, rgb.cols, rgb.rows));
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// convert image from RGB to grayscale
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cvtColor(rgb, gray, CV_RGB2GRAY);
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// form a border in-place
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copyMakeBorder(gray, gray_buf, border, border,
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border, border, BORDER_REPLICATE);
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// now do some custom filtering ...
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...
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.. note::
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When the source image is a part (ROI) of a bigger image, the function will try to use the pixels
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outside of the ROI to form a border. To disable this feature and always do extrapolation, as if
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``src`` was not a ROI, use ``borderType | BORDER_ISOLATED``.
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.. seealso::
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:ocv:func:`borderInterpolate`
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@@ -112,6 +112,14 @@ CV_EXPORTS void error( const Exception& exc );
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//! swaps two matrices
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CV_EXPORTS void swap(Mat& a, Mat& b);
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//! 1D interpolation function: returns coordinate of the "donor" pixel for the specified location p.
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CV_EXPORTS_W int borderInterpolate(int p, int len, int borderType);
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//! copies 2D array to a larger destination array with extrapolation of the outer part of src using the specified border mode
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CV_EXPORTS_W void copyMakeBorder(InputArray src, OutputArray dst,
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int top, int bottom, int left, int right,
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int borderType, const Scalar& value = Scalar() );
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//! adds one matrix to another (dst = src1 + src2)
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CV_EXPORTS_W void add(InputArray src1, InputArray src2, OutputArray dst,
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InputArray mask = noArray(), int dtype = -1);
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@@ -169,6 +177,9 @@ CV_EXPORTS_W double norm(InputArray src1, int normType = NORM_L2, InputArray mas
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CV_EXPORTS_W double norm(InputArray src1, InputArray src2,
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int normType = NORM_L2, InputArray mask = noArray());
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//! computes PSNR image/video quality metric
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CV_EXPORTS_W double PSNR(InputArray src1, InputArray src2);
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//! computes norm of a sparse matrix
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CV_EXPORTS double norm( const SparseMat& src, int normType );
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@@ -157,6 +157,20 @@ enum { DFT_INVERSE = 1,
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DCT_ROWS = DFT_ROWS
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};
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//! Various border types, image boundaries are denoted with '|'
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enum {
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BORDER_CONSTANT = 0, // iiiiii|abcdefgh|iiiiiii with some specified 'i'
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BORDER_REPLICATE = 1, // aaaaaa|abcdefgh|hhhhhhh
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BORDER_REFLECT = 2, // fedcba|abcdefgh|hgfedcb
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BORDER_WRAP = 3, // cdefgh|abcdefgh|abcdefg
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BORDER_REFLECT_101 = 4, // gfedcb|abcdefgh|gfedcba
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BORDER_TRANSPARENT = 5, // uvwxyz|absdefgh|ijklmno
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BORDER_REFLECT101 = BORDER_REFLECT_101,
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BORDER_DEFAULT = BORDER_REFLECT_101,
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BORDER_ISOLATED = 16 // do not look outside of ROI
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};
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//////////////// static assert /////////////////
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@@ -667,6 +667,51 @@ public:
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///////////////////////// raster image moments //////////////////////////
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class CV_EXPORTS_W_MAP Moments
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{
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public:
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//! the default constructor
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Moments();
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//! the full constructor
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Moments(double m00, double m10, double m01, double m20, double m11,
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double m02, double m30, double m21, double m12, double m03 );
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////! the conversion from CvMoments
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//Moments( const CvMoments& moments );
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////! the conversion to CvMoments
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//operator CvMoments() const;
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//! spatial moments
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CV_PROP_RW double m00, m10, m01, m20, m11, m02, m30, m21, m12, m03;
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//! central moments
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CV_PROP_RW double mu20, mu11, mu02, mu30, mu21, mu12, mu03;
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//! central normalized moments
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CV_PROP_RW double nu20, nu11, nu02, nu30, nu21, nu12, nu03;
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};
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/*!
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traits
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*/
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template<> class DataType<Moments>
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{
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public:
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typedef Moments value_type;
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typedef double work_type;
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typedef double channel_type;
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enum { generic_type = 0,
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depth = DataType<channel_type>::depth,
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channels = (int)(sizeof(value_type)/sizeof(channel_type)), // 24
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fmt = DataType<channel_type>::fmt + ((channels - 1) << 8),
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type = CV_MAKETYPE(depth, channels)
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};
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typedef Vec<channel_type, channels> vec_type;
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};
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/////////////////////////////////////////////////////////////////////////
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///////////////////////////// Implementation ////////////////////////////
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/////////////////////////////////////////////////////////////////////////
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@@ -512,6 +512,231 @@ Mat repeat(const Mat& src, int ny, int nx)
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return dst;
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}
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} // cv
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/*
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Various border types, image boundaries are denoted with '|'
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* BORDER_REPLICATE: aaaaaa|abcdefgh|hhhhhhh
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* BORDER_REFLECT: fedcba|abcdefgh|hgfedcb
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* BORDER_REFLECT_101: gfedcb|abcdefgh|gfedcba
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* BORDER_WRAP: cdefgh|abcdefgh|abcdefg
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* BORDER_CONSTANT: iiiiii|abcdefgh|iiiiiii with some specified 'i'
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*/
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int cv::borderInterpolate( int p, int len, int borderType )
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{
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if( (unsigned)p < (unsigned)len )
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;
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else if( borderType == BORDER_REPLICATE )
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p = p < 0 ? 0 : len - 1;
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else if( borderType == BORDER_REFLECT || borderType == BORDER_REFLECT_101 )
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{
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int delta = borderType == BORDER_REFLECT_101;
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if( len == 1 )
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return 0;
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do
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{
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if( p < 0 )
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p = -p - 1 + delta;
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else
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p = len - 1 - (p - len) - delta;
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}
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while( (unsigned)p >= (unsigned)len );
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}
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else if( borderType == BORDER_WRAP )
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{
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if( p < 0 )
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p -= ((p-len+1)/len)*len;
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if( p >= len )
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p %= len;
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}
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else if( borderType == BORDER_CONSTANT )
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p = -1;
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else
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CV_Error( CV_StsBadArg, "Unknown/unsupported border type" );
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return p;
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}
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namespace
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{
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void copyMakeBorder_8u( const uchar* src, size_t srcstep, cv::Size srcroi,
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uchar* dst, size_t dststep, cv::Size dstroi,
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int top, int left, int cn, int borderType )
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{
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const int isz = (int)sizeof(int);
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int i, j, k, elemSize = 1;
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bool intMode = false;
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if( (cn | srcstep | dststep | (size_t)src | (size_t)dst) % isz == 0 )
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{
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cn /= isz;
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elemSize = isz;
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intMode = true;
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}
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cv::AutoBuffer<int> _tab((dstroi.width - srcroi.width)*cn);
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int* tab = _tab;
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int right = dstroi.width - srcroi.width - left;
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int bottom = dstroi.height - srcroi.height - top;
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for( i = 0; i < left; i++ )
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{
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j = cv::borderInterpolate(i - left, srcroi.width, borderType)*cn;
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for( k = 0; k < cn; k++ )
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tab[i*cn + k] = j + k;
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}
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for( i = 0; i < right; i++ )
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{
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j = cv::borderInterpolate(srcroi.width + i, srcroi.width, borderType)*cn;
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for( k = 0; k < cn; k++ )
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tab[(i+left)*cn + k] = j + k;
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}
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srcroi.width *= cn;
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dstroi.width *= cn;
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left *= cn;
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right *= cn;
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uchar* dstInner = dst + dststep*top + left*elemSize;
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for( i = 0; i < srcroi.height; i++, dstInner += dststep, src += srcstep )
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{
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if( dstInner != src )
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memcpy(dstInner, src, srcroi.width*elemSize);
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if( intMode )
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{
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const int* isrc = (int*)src;
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int* idstInner = (int*)dstInner;
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for( j = 0; j < left; j++ )
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idstInner[j - left] = isrc[tab[j]];
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for( j = 0; j < right; j++ )
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idstInner[j + srcroi.width] = isrc[tab[j + left]];
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}
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else
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{
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for( j = 0; j < left; j++ )
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dstInner[j - left] = src[tab[j]];
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for( j = 0; j < right; j++ )
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dstInner[j + srcroi.width] = src[tab[j + left]];
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}
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}
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dstroi.width *= elemSize;
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dst += dststep*top;
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for( i = 0; i < top; i++ )
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{
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j = cv::borderInterpolate(i - top, srcroi.height, borderType);
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memcpy(dst + (i - top)*dststep, dst + j*dststep, dstroi.width);
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}
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for( i = 0; i < bottom; i++ )
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{
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j = cv::borderInterpolate(i + srcroi.height, srcroi.height, borderType);
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memcpy(dst + (i + srcroi.height)*dststep, dst + j*dststep, dstroi.width);
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}
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}
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void copyMakeConstBorder_8u( const uchar* src, size_t srcstep, cv::Size srcroi,
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uchar* dst, size_t dststep, cv::Size dstroi,
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int top, int left, int cn, const uchar* value )
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{
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int i, j;
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cv::AutoBuffer<uchar> _constBuf(dstroi.width*cn);
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uchar* constBuf = _constBuf;
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int right = dstroi.width - srcroi.width - left;
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int bottom = dstroi.height - srcroi.height - top;
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for( i = 0; i < dstroi.width; i++ )
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{
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for( j = 0; j < cn; j++ )
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constBuf[i*cn + j] = value[j];
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}
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srcroi.width *= cn;
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dstroi.width *= cn;
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left *= cn;
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right *= cn;
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uchar* dstInner = dst + dststep*top + left;
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for( i = 0; i < srcroi.height; i++, dstInner += dststep, src += srcstep )
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{
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if( dstInner != src )
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memcpy( dstInner, src, srcroi.width );
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memcpy( dstInner - left, constBuf, left );
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memcpy( dstInner + srcroi.width, constBuf, right );
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}
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dst += dststep*top;
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for( i = 0; i < top; i++ )
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memcpy(dst + (i - top)*dststep, constBuf, dstroi.width);
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for( i = 0; i < bottom; i++ )
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memcpy(dst + (i + srcroi.height)*dststep, constBuf, dstroi.width);
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}
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}
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void cv::copyMakeBorder( InputArray _src, OutputArray _dst, int top, int bottom,
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int left, int right, int borderType, const Scalar& value )
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{
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Mat src = _src.getMat();
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CV_Assert( top >= 0 && bottom >= 0 && left >= 0 && right >= 0 );
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if( src.isSubmatrix() && (borderType & BORDER_ISOLATED) == 0 )
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{
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Size wholeSize;
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Point ofs;
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src.locateROI(wholeSize, ofs);
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int dtop = std::min(ofs.y, top);
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int dbottom = std::min(wholeSize.height - src.rows - ofs.y, bottom);
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int dleft = std::min(ofs.x, left);
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int dright = std::min(wholeSize.width - src.cols - ofs.x, right);
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src.adjustROI(dtop, dbottom, dleft, dright);
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top -= dtop;
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left -= dleft;
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bottom -= dbottom;
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right -= dright;
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}
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_dst.create( src.rows + top + bottom, src.cols + left + right, src.type() );
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Mat dst = _dst.getMat();
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if(top == 0 && left == 0 && bottom == 0 && right == 0)
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{
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if(src.data != dst.data || src.step != dst.step)
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src.copyTo(dst);
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return;
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}
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borderType &= ~BORDER_ISOLATED;
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if( borderType != BORDER_CONSTANT )
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copyMakeBorder_8u( src.data, src.step, src.size(),
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dst.data, dst.step, dst.size(),
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top, left, (int)src.elemSize(), borderType );
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else
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{
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int cn = src.channels(), cn1 = cn;
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AutoBuffer<double> buf(cn);
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if( cn > 4 )
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{
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CV_Assert( value[0] == value[1] && value[0] == value[2] && value[0] == value[3] );
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cn1 = 1;
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}
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scalarToRawData(value, buf, CV_MAKETYPE(src.depth(), cn1), cn);
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copyMakeConstBorder_8u( src.data, src.step, src.size(),
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dst.data, dst.step, dst.size(),
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top, left, (int)src.elemSize(), (uchar*)(double*)buf );
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}
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}
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/* dst = src */
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|
@@ -41,6 +41,7 @@
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//M*/
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#include "precomp.hpp"
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#include <limits>
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using namespace cv;
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using namespace cv::gpu;
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|
@@ -41,6 +41,7 @@
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//M*/
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#include "precomp.hpp"
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#include <limits>
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#if defined _M_IX86 && defined _MSC_VER && _MSC_VER < 1700
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#pragma float_control(precise, on)
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|
@@ -54,6 +54,8 @@
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#undef min
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#undef max
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#undef abs
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#else
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#include <pthread.h>
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#endif
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#if defined __SSE2__ || (defined _M_IX86_FP && 2 == _M_IX86_FP)
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||||
|
@@ -1922,6 +1922,14 @@ void cv::findNonZero( InputArray _src, OutputArray _idx )
|
||||
}
|
||||
}
|
||||
|
||||
double cv::PSNR(InputArray _src1, InputArray _src2)
|
||||
{
|
||||
Mat src1 = _src1.getMat(), src2 = _src2.getMat();
|
||||
CV_Assert( src1.depth() == CV_8U );
|
||||
double diff = std::sqrt(norm(src1, src2, NORM_L2SQR)/(src1.total()*src1.channels()));
|
||||
return 20*log10(255./(diff+DBL_EPSILON));
|
||||
}
|
||||
|
||||
|
||||
CV_IMPL CvScalar cvSum( const CvArr* srcarr )
|
||||
{
|
||||
|
Reference in New Issue
Block a user