docs changes

modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst

@@ -286,6 +286,8 @@ For points in an image of a stereo pair, computes the corresponding epilines in
 
 .. ocv:cfunction:: void cvComputeCorrespondEpilines( const CvMat* points, int which_image, const CvMat* fundamental_matrix, CvMat* correspondent_lines )
 
+.. ocv:pyfunction:: cv2.computeCorrespondEpilines(points, whichImage, F[, lines]) -> lines
+
     :param points: Input points.  :math:`N \times 1`  or  :math:`1 \times N`  matrix of type  ``CV_32FC2``  or  ``vector<Point2f>`` .
 
     :param whichImage: Index of the image (1 or 2) that contains the  ``points`` .

modules/highgui/doc/user_interface.rst

@@ -81,6 +81,9 @@ The function ``imshow`` displays an image in the specified window. If the window
 
 If window was created with OpenGL support, ``imshow`` also support :ocv:class:`ogl::Buffer` ,  :ocv:class:`ogl::Texture2D` and  :ocv:class:`gpu::GpuMat` as input.
 
+.. note:: This function should be followed by ``waitKey`` function which displays the image for specified milliseconds. Otherwise, it won't display the image.
+
+
 namedWindow
 ---------------
 Creates a window.

modules/imgproc/doc/filtering.rst

@@ -759,7 +759,7 @@ Dilates an image by using a specific structuring element.
 
     :param dst: output image of the same size and type as ``src``.
 
-    :param element: structuring element used for dilation; if  ``element=Mat()`` , a  ``3 x 3`` rectangular structuring element is used.
+    :param kernel: structuring element used for dilation; if  ``element=Mat()`` , a  ``3 x 3`` rectangular structuring element is used. Kernel can be created using :ocv:func:`getStructuringElement`
 
     :param anchor: position of the anchor within the element; default value ``(-1, -1)`` means that the anchor is at the element center.
 
@@ -782,11 +782,16 @@ The function supports the in-place mode. Dilation can be applied several ( ``ite
     :ocv:func:`erode`,
     :ocv:func:`morphologyEx`,
     :ocv:func:`createMorphologyFilter`
+    :ocv:func:`getStructuringElement`
+
 
 .. Sample code::
 
    * : An example using the morphological dilate operation can be found at opencv_source_code/samples/cpp/morphology2.cpp
 
+    
+
+
 erode
 -----
 Erodes an image by using a specific structuring element.
@@ -801,7 +806,7 @@ Erodes an image by using a specific structuring element.
 
     :param dst: output image of the same size and type as ``src``.
 
-    :param element: structuring element used for erosion; if  ``element=Mat()`` , a  ``3 x 3``  rectangular structuring element is used.
+    :param kernel: structuring element used for erosion; if  ``element=Mat()`` , a  ``3 x 3``  rectangular structuring element is used. Kernel can be created using :ocv:func:`getStructuringElement`.
 
     :param anchor: position of the anchor within the element; default value  ``(-1, -1)``  means that the anchor is at the element center.
 
@@ -823,7 +828,8 @@ The function supports the in-place mode. Erosion can be applied several ( ``iter
 
     :ocv:func:`dilate`,
     :ocv:func:`morphologyEx`,
-    :ocv:func:`createMorphologyFilter`
+    :ocv:func:`createMorphologyFilter`,
+    :ocv:func:`getStructuringElement`
 
 .. Sample code::
 
@@ -956,7 +962,7 @@ Returns Gaussian filter coefficients.
     :param ksize: Aperture size. It should be odd ( :math:`\texttt{ksize} \mod 2 = 1` ) and positive.
 
     :param sigma: Gaussian standard deviation. If it is non-positive, it is computed from  ``ksize``  as  \ ``sigma = 0.3*((ksize-1)*0.5 - 1) + 0.8`` .
-    :param ktype: Type of filter coefficients. It can be  ``CV_32f``  or  ``CV_64F`` .
+    :param ktype: Type of filter coefficients. It can be  ``CV_32F``  or  ``CV_64F`` .
 
 The function computes and returns the
 :math:`\texttt{ksize} \times 1` matrix of Gaussian filter coefficients:
@@ -985,6 +991,32 @@ Two of such generated kernels can be passed to
 
 
 
+getGaborKernel
+-----------------
+Returns Gabor filter coefficients.
+
+.. ocv:function:: Mat getGaborKernel( Size ksize, double sigma, double theta, double lambd, double gamma, double psi = CV_PI*0.5, int ktype = CV_64F )
+
+.. ocv:pyfunction:: cv2.getGaborKernel(ksize, sigma, theta, lambd, gamma[, psi[, ktype]]) -> retval
+
+    :param ksize: Size of the filter returned.
+    
+    :param sigma: Standard deviation of the gaussian envelope.
+    
+    :param theta: Orientation of the normal to the parallel stripes of a Gabor function.
+    
+    :param lambd: Wavelength of the sinusoidal factor.
+    
+    :param gamma: Spatial aspect ratio.
+    
+    :param psi: Phase offset.
+    
+    :param ktype: Type of filter coefficients. It can be  ``CV_32F``  or  ``CV_64F`` .
+
+For more details about gabor filter equations and parameters, see: `Gabor Filter <http://en.wikipedia.org/wiki/Gabor_filter>`_.
+
+
+
 getKernelType
 -------------
 Returns the kernel type.
@@ -1099,7 +1131,9 @@ Performs advanced morphological transformations.
 
     :param dst: Destination image of the same size and type as  ``src`` .
 
-    :param element: Structuring element.
+    :param kernel: Structuring element. It can be created using :ocv:func:`getStructuringElement`.
+    
+    :param anchor: Anchor position with the kernel. Negative values mean that the anchor is at the kernel center.
 
     :param op: Type of a morphological operation that can be one of the following:
 
@@ -1157,7 +1191,8 @@ Any of the operations can be done in-place. In case of multi-channel images, eac
 
     :ocv:func:`dilate`,
     :ocv:func:`erode`,
-    :ocv:func:`createMorphologyFilter`
+    :ocv:func:`createMorphologyFilter`,
+    :ocv:func:`getStructuringElement`
 
 .. Sample code::
 

modules/photo/doc/inpainting.rst

@@ -23,7 +23,7 @@ Restores the selected region in an image using the region neighborhood.
 
     :param flags: Inpainting method that could be one of the following:
 
-            * **INPAINT_NS**     Navier-Stokes based method.
+            * **INPAINT_NS**     Navier-Stokes based method [Navier01]
 
             * **INPAINT_TELEA**     Method by Alexandru Telea  [Telea04]_.
 
@@ -36,3 +36,9 @@ for more details.
    * : An example using the inpainting technique can be found at opencv_source_code/samples/cpp/inpaint.cpp
 
    * : PYTHON : An example using the inpainting technique can be found at opencv_source_code/samples/python2/inpaint.py
+
+
+.. [Telea04] Telea, Alexandru. "An image inpainting technique based on the fast marching method." Journal of graphics tools 9, no. 1 (2004): 23-34.
+
+.. [Navier01] Bertalmio, Marcelo, Andrea L. Bertozzi, and Guillermo Sapiro. "Navier-stokes, fluid dynamics, and image and video inpainting." In Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on, vol. 1, pp. I-355. IEEE, 2001.
+

modules/video/doc/motion_analysis_and_object_tracking.rst

@@ -170,6 +170,8 @@ Finds the geometric transform (warp) between two images in terms of the ECC crit
 
 .. ocv:function:: double findTransformECC( InputArray templateImage, InputArray inputImage, InputOutputArray warpMatrix, int motionType=MOTION_AFFINE, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 50, 0.001))
 
+.. ocv:pyfunction:: cv2.findTransformECC(templateImage, inputImage, warpMatrix[, motionType[, criteria]]) -> retval, warpMatrix
+
     :param templateImage: single-channel template image; ``CV_8U`` or ``CV_32F`` array.
 
     :param inputImage: single-channel input image which should be warped with the final ``warpMatrix`` in order to provide an image similar to ``templateImage``, same type as ``temlateImage``.