mirror of
https://github.com/opencv/opencv.git
synced 2024-11-26 12:10:49 +08:00
232 lines
8.5 KiB
ReStructuredText
232 lines
8.5 KiB
ReStructuredText
Image Processing
|
|
================
|
|
|
|
.. highlight:: cpp
|
|
|
|
|
|
|
|
cuda::CannyEdgeDetector
|
|
-----------------------
|
|
.. ocv:class:: cuda::CannyEdgeDetector : public Algorithm
|
|
|
|
Base class for Canny Edge Detector. ::
|
|
|
|
class CV_EXPORTS CannyEdgeDetector : public Algorithm
|
|
{
|
|
public:
|
|
virtual void detect(InputArray image, OutputArray edges) = 0;
|
|
virtual void detect(InputArray dx, InputArray dy, OutputArray edges) = 0;
|
|
|
|
virtual void setLowThreshold(double low_thresh) = 0;
|
|
virtual double getLowThreshold() const = 0;
|
|
|
|
virtual void setHighThreshold(double high_thresh) = 0;
|
|
virtual double getHighThreshold() const = 0;
|
|
|
|
virtual void setAppertureSize(int apperture_size) = 0;
|
|
virtual int getAppertureSize() const = 0;
|
|
|
|
virtual void setL2Gradient(bool L2gradient) = 0;
|
|
virtual bool getL2Gradient() const = 0;
|
|
};
|
|
|
|
|
|
|
|
cuda::CannyEdgeDetector::detect
|
|
-------------------------------
|
|
Finds edges in an image using the [Canny86]_ algorithm.
|
|
|
|
.. ocv:function:: void cuda::CannyEdgeDetector::detect(InputArray image, OutputArray edges)
|
|
|
|
.. ocv:function:: void cuda::CannyEdgeDetector::detect(InputArray dx, InputArray dy, OutputArray edges)
|
|
|
|
:param image: Single-channel 8-bit input image.
|
|
|
|
:param dx: First derivative of image in the vertical direction. Support only ``CV_32S`` type.
|
|
|
|
:param dy: First derivative of image in the horizontal direction. Support only ``CV_32S`` type.
|
|
|
|
:param edges: Output edge map. It has the same size and type as ``image`` .
|
|
|
|
|
|
|
|
cuda::createCannyEdgeDetector
|
|
-----------------------------
|
|
Creates implementation for :ocv:class:`cuda::CannyEdgeDetector` .
|
|
|
|
.. ocv:function:: Ptr<CannyEdgeDetector> cuda::createCannyEdgeDetector(double low_thresh, double high_thresh, int apperture_size = 3, bool L2gradient = false)
|
|
|
|
:param low_thresh: First threshold for the hysteresis procedure.
|
|
|
|
:param high_thresh: Second threshold for the hysteresis procedure.
|
|
|
|
:param apperture_size: Aperture size for the :ocv:func:`Sobel` operator.
|
|
|
|
:param L2gradient: Flag indicating whether a more accurate :math:`L_2` norm :math:`=\sqrt{(dI/dx)^2 + (dI/dy)^2}` should be used to compute the image gradient magnitude ( ``L2gradient=true`` ), or a faster default :math:`L_1` norm :math:`=|dI/dx|+|dI/dy|` is enough ( ``L2gradient=false`` ).
|
|
|
|
|
|
|
|
cuda::meanShiftFiltering
|
|
------------------------
|
|
Performs mean-shift filtering for each point of the source image.
|
|
|
|
.. ocv:function:: void cuda::meanShiftFiltering(InputArray src, OutputArray dst, int sp, int sr, TermCriteria criteria = TermCriteria(TermCriteria::MAX_ITER + TermCriteria::EPS, 5, 1), Stream& stream = Stream::Null())
|
|
|
|
:param src: Source image. Only ``CV_8UC4`` images are supported for now.
|
|
|
|
:param dst: Destination image containing the color of mapped points. It has the same size and type as ``src`` .
|
|
|
|
:param sp: Spatial window radius.
|
|
|
|
:param sr: Color window radius.
|
|
|
|
:param criteria: Termination criteria. See :ocv:class:`TermCriteria`.
|
|
|
|
It maps each point of the source image into another point. As a result, you have a new color and new position of each point.
|
|
|
|
|
|
|
|
cuda::meanShiftProc
|
|
-------------------
|
|
Performs a mean-shift procedure and stores information about processed points (their colors and positions) in two images.
|
|
|
|
.. ocv:function:: void cuda::meanShiftProc(InputArray src, OutputArray dstr, OutputArray dstsp, int sp, int sr, TermCriteria criteria = TermCriteria(TermCriteria::MAX_ITER + TermCriteria::EPS, 5, 1), Stream& stream = Stream::Null())
|
|
|
|
:param src: Source image. Only ``CV_8UC4`` images are supported for now.
|
|
|
|
:param dstr: Destination image containing the color of mapped points. The size and type is the same as ``src`` .
|
|
|
|
:param dstsp: Destination image containing the position of mapped points. The size is the same as ``src`` size. The type is ``CV_16SC2`` .
|
|
|
|
:param sp: Spatial window radius.
|
|
|
|
:param sr: Color window radius.
|
|
|
|
:param criteria: Termination criteria. See :ocv:class:`TermCriteria`.
|
|
|
|
.. seealso:: :ocv:func:`cuda::meanShiftFiltering`
|
|
|
|
|
|
|
|
cuda::meanShiftSegmentation
|
|
---------------------------
|
|
Performs a mean-shift segmentation of the source image and eliminates small segments.
|
|
|
|
.. ocv:function:: void cuda::meanShiftSegmentation(InputArray src, OutputArray dst, int sp, int sr, int minsize, TermCriteria criteria = TermCriteria(TermCriteria::MAX_ITER + TermCriteria::EPS, 5, 1))
|
|
|
|
:param src: Source image. Only ``CV_8UC4`` images are supported for now.
|
|
|
|
:param dst: Segmented image with the same size and type as ``src`` (host memory).
|
|
|
|
:param sp: Spatial window radius.
|
|
|
|
:param sr: Color window radius.
|
|
|
|
:param minsize: Minimum segment size. Smaller segments are merged.
|
|
|
|
:param criteria: Termination criteria. See :ocv:class:`TermCriteria`.
|
|
|
|
|
|
|
|
cuda::TemplateMatching
|
|
----------------------
|
|
.. ocv:class:: cuda::TemplateMatching : public Algorithm
|
|
|
|
Base class for Template Matching. ::
|
|
|
|
class CV_EXPORTS TemplateMatching : public Algorithm
|
|
{
|
|
public:
|
|
virtual void match(InputArray image, InputArray templ, OutputArray result, Stream& stream = Stream::Null()) = 0;
|
|
};
|
|
|
|
|
|
|
|
cuda::TemplateMatching::match
|
|
-----------------------------
|
|
Computes a proximity map for a raster template and an image where the template is searched for.
|
|
|
|
.. ocv:function:: void cuda::TemplateMatching::match(InputArray image, InputArray templ, OutputArray result, Stream& stream = Stream::Null())
|
|
|
|
:param image: Source image.
|
|
|
|
:param templ: Template image with the size and type the same as ``image`` .
|
|
|
|
:param result: Map containing comparison results ( ``CV_32FC1`` ). If ``image`` is *W x H* and ``templ`` is *w x h*, then ``result`` must be *W-w+1 x H-h+1*.
|
|
|
|
:param stream: Stream for the asynchronous version.
|
|
|
|
|
|
|
|
cuda::createTemplateMatching
|
|
----------------------------
|
|
Creates implementation for :ocv:class:`cuda::TemplateMatching` .
|
|
|
|
.. ocv:function:: Ptr<TemplateMatching> cuda::createTemplateMatching(int srcType, int method, Size user_block_size = Size())
|
|
|
|
:param srcType: Input source type. ``CV_32F`` and ``CV_8U`` depth images (1..4 channels) are supported for now.
|
|
|
|
:param method: Specifies the way to compare the template with the image.
|
|
|
|
:param user_block_size: You can use field `user_block_size` to set specific block size. If you leave its default value `Size(0,0)` then automatic estimation of block size will be used (which is optimized for speed). By varying `user_block_size` you can reduce memory requirements at the cost of speed.
|
|
|
|
The following methods are supported for the ``CV_8U`` depth images for now:
|
|
|
|
* ``CV_TM_SQDIFF``
|
|
* ``CV_TM_SQDIFF_NORMED``
|
|
* ``CV_TM_CCORR``
|
|
* ``CV_TM_CCORR_NORMED``
|
|
* ``CV_TM_CCOEFF``
|
|
* ``CV_TM_CCOEFF_NORMED``
|
|
|
|
The following methods are supported for the ``CV_32F`` images for now:
|
|
|
|
* ``CV_TM_SQDIFF``
|
|
* ``CV_TM_CCORR``
|
|
|
|
.. seealso:: :ocv:func:`matchTemplate`
|
|
|
|
|
|
|
|
cuda::bilateralFilter
|
|
---------------------
|
|
Performs bilateral filtering of passed image
|
|
|
|
.. ocv:function:: void cuda::bilateralFilter(InputArray src, OutputArray dst, int kernel_size, float sigma_color, float sigma_spatial, int borderMode=BORDER_DEFAULT, Stream& stream=Stream::Null())
|
|
|
|
:param src: Source image. Supports only (channles != 2 && depth() != CV_8S && depth() != CV_32S && depth() != CV_64F).
|
|
|
|
:param dst: Destination imagwe.
|
|
|
|
:param kernel_size: Kernel window size.
|
|
|
|
:param sigma_color: Filter sigma in the color space.
|
|
|
|
:param sigma_spatial: Filter sigma in the coordinate space.
|
|
|
|
:param borderMode: Border type. See :ocv:func:`borderInterpolate` for details. ``BORDER_REFLECT101`` , ``BORDER_REPLICATE`` , ``BORDER_CONSTANT`` , ``BORDER_REFLECT`` and ``BORDER_WRAP`` are supported for now.
|
|
|
|
:param stream: Stream for the asynchronous version.
|
|
|
|
.. seealso:: :ocv:func:`bilateralFilter`
|
|
|
|
|
|
|
|
cuda::blendLinear
|
|
-----------------
|
|
Performs linear blending of two images.
|
|
|
|
.. ocv:function:: void cuda::blendLinear(InputArray img1, InputArray img2, InputArray weights1, InputArray weights2, OutputArray result, Stream& stream = Stream::Null())
|
|
|
|
:param img1: First image. Supports only ``CV_8U`` and ``CV_32F`` depth.
|
|
|
|
:param img2: Second image. Must have the same size and the same type as ``img1`` .
|
|
|
|
:param weights1: Weights for first image. Must have tha same size as ``img1`` . Supports only ``CV_32F`` type.
|
|
|
|
:param weights2: Weights for second image. Must have tha same size as ``img2`` . Supports only ``CV_32F`` type.
|
|
|
|
:param result: Destination image.
|
|
|
|
:param stream: Stream for the asynchronous version.
|