Classes
class	cv::ximgproc::AdaptiveManifoldFilter
	Interface for Adaptive Manifold Filter realizations. More...

class	cv::ximgproc::DisparityFilter
	Main interface for all disparity map filters. More...

class	cv::ximgproc::DisparityWLSFilter
	Disparity map filter based on Weighted Least Squares filter (in form of Fast Global Smoother that is a lot faster than traditional Weighted Least Squares filter implementations) and optional use of left-right-consistency-based confidence to refine the results in half-occlusions and uniform areas. More...

class	cv::ximgproc::DTFilter
	Interface for realizations of Domain Transform filter. More...

class	cv::ximgproc::EdgeAwareInterpolator
	Sparse match interpolation algorithm based on modified locally-weighted affine estimator from [117] and Fast Global Smoother as post-processing filter. More...

class	cv::ximgproc::FastGlobalSmootherFilter
	Interface for implementations of Fast Global Smoother filter. More...

class	cv::ximgproc::GuidedFilter
	Interface for realizations of Guided Filter. More...

class	cv::ximgproc::SparseMatchInterpolator
	Main interface for all filters, that take sparse matches as an input and produce a dense per-pixel matching (optical flow) as an output. More...

Enumerations
enum	cv::ximgproc::EdgeAwareFiltersList { cv::ximgproc::DTF_NC, cv::ximgproc::DTF_IC, cv::ximgproc::DTF_RF, cv::ximgproc::GUIDED_FILTER, cv::ximgproc::AM_FILTER }

Functions
void	cv::ximgproc::amFilter (InputArray joint, InputArray src, OutputArray dst, double sigma_s, double sigma_r, bool adjust_outliers=false)
	Simple one-line Adaptive Manifold Filter call. More...

double	cv::ximgproc::computeBadPixelPercent (InputArray GT, InputArray src, Rect ROI, int thresh=24)
	Function for computing the percent of "bad" pixels in the disparity map (pixels where error is higher than a specified threshold) More...

double	cv::ximgproc::computeMSE (InputArray GT, InputArray src, Rect ROI)
	Function for computing mean square error for disparity maps. More...

Ptr< AdaptiveManifoldFilter >	cv::ximgproc::createAMFilter (double sigma_s, double sigma_r, bool adjust_outliers=false)
	Factory method, create instance of AdaptiveManifoldFilter and produce some initialization routines. More...

Ptr< DisparityWLSFilter >	cv::ximgproc::createDisparityWLSFilter (Ptr< StereoMatcher > matcher_left)
	Convenience factory method that creates an instance of DisparityWLSFilter and sets up all the relevant filter parameters automatically based on the matcher instance. Currently supports only StereoBM and StereoSGBM. More...

Ptr< DisparityWLSFilter >	cv::ximgproc::createDisparityWLSFilterGeneric (bool use_confidence)
	More generic factory method, create instance of DisparityWLSFilter and execute basic initialization routines. When using this method you will need to set-up the ROI, matchers and other parameters by yourself. More...

Ptr< DTFilter >	cv::ximgproc::createDTFilter (InputArray guide, double sigmaSpatial, double sigmaColor, int mode=DTF_NC, int numIters=3)
	Factory method, create instance of DTFilter and produce initialization routines. More...

Ptr< EdgeAwareInterpolator >	cv::ximgproc::createEdgeAwareInterpolator ()
	Factory method that creates an instance of the EdgeAwareInterpolator. More...

Ptr< FastGlobalSmootherFilter >	cv::ximgproc::createFastGlobalSmootherFilter (InputArray guide, double lambda, double sigma_color, double lambda_attenuation=0.25, int num_iter=3)
	Factory method, create instance of FastGlobalSmootherFilter and execute the initialization routines. More...

Ptr< GuidedFilter >	cv::ximgproc::createGuidedFilter (InputArray guide, int radius, double eps)
	Factory method, create instance of GuidedFilter and produce initialization routines. More...

Ptr< StereoMatcher >	cv::ximgproc::createRightMatcher (Ptr< StereoMatcher > matcher_left)
	Convenience method to set up the matcher for computing the right-view disparity map that is required in case of filtering with confidence. More...

void	cv::ximgproc::dtFilter (InputArray guide, InputArray src, OutputArray dst, double sigmaSpatial, double sigmaColor, int mode=DTF_NC, int numIters=3)
	Simple one-line Domain Transform filter call. If you have multiple images to filter with the same guided image then use DTFilter interface to avoid extra computations on initialization stage. More...

void	cv::ximgproc::fastGlobalSmootherFilter (InputArray guide, InputArray src, OutputArray dst, double lambda, double sigma_color, double lambda_attenuation=0.25, int num_iter=3)
	Simple one-line Fast Global Smoother filter call. If you have multiple images to filter with the same guide then use FastGlobalSmootherFilter interface to avoid extra computations. More...

void	cv::ximgproc::getDisparityVis (InputArray src, OutputArray dst, double scale=1.0)
	Function for creating a disparity map visualization (clamped CV_8U image) More...

void	cv::ximgproc::guidedFilter (InputArray guide, InputArray src, OutputArray dst, int radius, double eps, int dDepth=-1)
	Simple one-line Guided Filter call. More...

void	cv::ximgproc::jointBilateralFilter (InputArray joint, InputArray src, OutputArray dst, int d, double sigmaColor, double sigmaSpace, int borderType=BORDER_DEFAULT)
	Applies the joint bilateral filter to an image. More...

void	cv::ximgproc::l0Smooth (InputArray src, OutputArray dst, double lambda=0.02, double kappa=2.0)
	Global image smoothing via L0 gradient minimization. More...

int	cv::ximgproc::readGT (String src_path, OutputArray dst)
	Function for reading ground truth disparity maps. Supports basic Middlebury and MPI-Sintel formats. Note that the resulting disparity map is scaled by 16. More...

void	cv::ximgproc::rollingGuidanceFilter (InputArray src, OutputArray dst, int d=-1, double sigmaColor=25, double sigmaSpace=3, int numOfIter=4, int borderType=BORDER_DEFAULT)
	Applies the rolling guidance filter to an image. More...

Detailed Description

Enumeration Type Documentation

enum cv::ximgproc::EdgeAwareFiltersList

Enumerator
DTF_NC
DTF_IC
DTF_RF
GUIDED_FILTER
AM_FILTER

Function Documentation

void cv::ximgproc::amFilter	(	InputArray	joint,
		InputArray	src,
		OutputArray	dst,
		double	sigma_s,
		double	sigma_r,
		bool	adjust_outliers = `false`
	)

Simple one-line Adaptive Manifold Filter call.

Parameters

joint	joint (also called as guided) image or array of images with any numbers of channels.
src	filtering image with any numbers of channels.
dst	output image.
sigma_s	spatial standard deviation.
sigma_r	color space standard deviation, it is similar to the sigma in the color space into bilateralFilter.
adjust_outliers	optional, specify perform outliers adjust operation or not, (Eq. 9) in the original paper.

Note: Joint images with CV_8U and CV_16U depth converted to images with CV_32F depth and [0; 1] color range before processing. Hence color space sigma sigma_r must be in [0; 1] range, unlike same sigmas in bilateralFilter and dtFilter functions.

See also: bilateralFilter, dtFilter, guidedFilter

double cv::ximgproc::computeBadPixelPercent	(	InputArray	GT,
		InputArray	src,
		Rect	ROI,
		int	thresh = `24`
	)

Function for computing the percent of "bad" pixels in the disparity map (pixels where error is higher than a specified threshold)

Parameters

GT	ground truth disparity map
src	disparity map to evaluate
ROI	region of interest
thresh	threshold used to determine "bad" pixels

Returns: returns mean square error between GT and src

double cv::ximgproc::computeMSE	(	InputArray	GT,
		InputArray	src,
		Rect	ROI
	)

Function for computing mean square error for disparity maps.

Parameters

GT	ground truth disparity map
src	disparity map to evaluate
ROI	region of interest

Returns: returns mean square error between GT and src

Ptr<AdaptiveManifoldFilter> cv::ximgproc::createAMFilter	(	double	sigma_s,
		double	sigma_r,
		bool	adjust_outliers = `false`
	)

Factory method, create instance of AdaptiveManifoldFilter and produce some initialization routines.

Parameters

sigma_s	spatial standard deviation.
sigma_r	color space standard deviation, it is similar to the sigma in the color space into bilateralFilter.
adjust_outliers	optional, specify perform outliers adjust operation or not, (Eq. 9) in the original paper.

For more details about Adaptive Manifold Filter parameters, see the original article [55] .

Note: Joint images with CV_8U and CV_16U depth converted to images with CV_32F depth and [0; 1] color range before processing. Hence color space sigma sigma_r must be in [0; 1] range, unlike same sigmas in bilateralFilter and dtFilter functions.

Ptr<DisparityWLSFilter> cv::ximgproc::createDisparityWLSFilter ( Ptr< StereoMatcher > matcher_left )

Convenience factory method that creates an instance of DisparityWLSFilter and sets up all the relevant filter parameters automatically based on the matcher instance. Currently supports only StereoBM and StereoSGBM.

Parameters

matcher_left stereo matcher instance that will be used with the filter

Ptr<DisparityWLSFilter> cv::ximgproc::createDisparityWLSFilterGeneric ( bool use_confidence )

More generic factory method, create instance of DisparityWLSFilter and execute basic initialization routines. When using this method you will need to set-up the ROI, matchers and other parameters by yourself.

Parameters

use_confidence filtering with confidence requires two disparity maps (for the left and right views) and is approximately two times slower. However, quality is typically significantly better.

Ptr<DTFilter> cv::ximgproc::createDTFilter	(	InputArray	guide,
		double	sigmaSpatial,
		double	sigmaColor,
		int	mode = `DTF_NC`,
		int	numIters = `3`
	)

Factory method, create instance of DTFilter and produce initialization routines.

Parameters

guide	guided image (used to build transformed distance, which describes edge structure of guided image).
sigmaSpatial	\({\sigma}_H\) parameter in the original article, it's similar to the sigma in the coordinate space into bilateralFilter.
sigmaColor	\({\sigma}_r\) parameter in the original article, it's similar to the sigma in the color space into bilateralFilter.
mode	one form three modes DTF_NC, DTF_RF and DTF_IC which corresponds to three modes for filtering 2D signals in the article.
numIters	optional number of iterations used for filtering, 3 is quite enough.

For more details about Domain Transform filter parameters, see the original article [54] and Domain Transform filter homepage.

Ptr<EdgeAwareInterpolator> cv::ximgproc::createEdgeAwareInterpolator ( )

Factory method that creates an instance of the EdgeAwareInterpolator.

Ptr<FastGlobalSmootherFilter> cv::ximgproc::createFastGlobalSmootherFilter	(	InputArray	guide,
		double	lambda,
		double	sigma_color,
		double	lambda_attenuation = `0.25`,
		int	num_iter = `3`
	)

Factory method, create instance of FastGlobalSmootherFilter and execute the initialization routines.

Parameters

guide	image serving as guide for filtering. It should have 8-bit depth and either 1 or 3 channels.
lambda	parameter defining the amount of regularization
sigma_color	parameter, that is similar to color space sigma in bilateralFilter.
lambda_attenuation	internal parameter, defining how much lambda decreases after each iteration. Normally, it should be 0.25. Setting it to 1.0 may lead to streaking artifacts.
num_iter	number of iterations used for filtering, 3 is usually enough.

For more details about Fast Global Smoother parameters, see the original paper [102]. However, please note that there are several differences. Lambda attenuation described in the paper is implemented a bit differently so do not expect the results to be identical to those from the paper; sigma_color values from the paper should be multiplied by 255.0 to achieve the same effect. Also, in case of image filtering where source and guide image are the same, authors propose to dynamically update the guide image after each iteration. To maximize the performance this feature was not implemented here.

Ptr<GuidedFilter> cv::ximgproc::createGuidedFilter	(	InputArray	guide,
		int	radius,
		double	eps
	)

Factory method, create instance of GuidedFilter and produce initialization routines.

Parameters

guide	guided image (or array of images) with up to 3 channels, if it have more then 3 channels then only first 3 channels will be used.
radius	radius of Guided Filter.
eps	regularization term of Guided Filter. \({eps}^2\) is similar to the sigma in the color space into bilateralFilter.

For more details about Guided Filter parameters, see the original article [64] .

Ptr<StereoMatcher> cv::ximgproc::createRightMatcher ( Ptr< StereoMatcher > matcher_left )

Convenience method to set up the matcher for computing the right-view disparity map that is required in case of filtering with confidence.

Parameters

matcher_left main stereo matcher instance that will be used with the filter

void cv::ximgproc::dtFilter	(	InputArray	guide,
		InputArray	src,
		OutputArray	dst,
		double	sigmaSpatial,
		double	sigmaColor,
		int	mode = `DTF_NC`,
		int	numIters = `3`
	)

Simple one-line Domain Transform filter call. If you have multiple images to filter with the same guided image then use DTFilter interface to avoid extra computations on initialization stage.

Parameters

guide	guided image (also called as joint image) with unsigned 8-bit or floating-point 32-bit depth and up to 4 channels.
src	filtering image with unsigned 8-bit or floating-point 32-bit depth and up to 4 channels.
dst
sigmaSpatial	\({\sigma}_H\) parameter in the original article, it's similar to the sigma in the coordinate space into bilateralFilter.
sigmaColor	\({\sigma}_r\) parameter in the original article, it's similar to the sigma in the color space into bilateralFilter.
mode	one form three modes DTF_NC, DTF_RF and DTF_IC which corresponds to three modes for filtering 2D signals in the article.
numIters	optional number of iterations used for filtering, 3 is quite enough.

See also: bilateralFilter, guidedFilter, amFilter

void cv::ximgproc::fastGlobalSmootherFilter	(	InputArray	guide,
		InputArray	src,
		OutputArray	dst,
		double	lambda,
		double	sigma_color,
		double	lambda_attenuation = `0.25`,
		int	num_iter = `3`
	)

Simple one-line Fast Global Smoother filter call. If you have multiple images to filter with the same guide then use FastGlobalSmootherFilter interface to avoid extra computations.

Parameters

guide	image serving as guide for filtering. It should have 8-bit depth and either 1 or 3 channels.
src	source image for filtering with unsigned 8-bit or signed 16-bit or floating-point 32-bit depth and up to 4 channels.
dst	destination image.
lambda	parameter defining the amount of regularization
sigma_color	parameter, that is similar to color space sigma in bilateralFilter.
lambda_attenuation	internal parameter, defining how much lambda decreases after each iteration. Normally, it should be 0.25. Setting it to 1.0 may lead to streaking artifacts.
num_iter	number of iterations used for filtering, 3 is usually enough.

void cv::ximgproc::getDisparityVis	(	InputArray	src,
		OutputArray	dst,
		double	scale = `1.0`
	)

Function for creating a disparity map visualization (clamped CV_8U image)

Parameters

src	input disparity map (CV_16S depth)
dst	output visualization
scale	disparity map will be multiplied by this value for visualization

void cv::ximgproc::guidedFilter	(	InputArray	guide,
		InputArray	src,
		OutputArray	dst,
		int	radius,
		double	eps,
		int	dDepth = `-1`
	)

Simple one-line Guided Filter call.

If you have multiple images to filter with the same guided image then use GuidedFilter interface to avoid extra computations on initialization stage.

Parameters

guide	guided image (or array of images) with up to 3 channels, if it have more then 3 channels then only first 3 channels will be used.
src	filtering image with any numbers of channels.
dst	output image.
radius	radius of Guided Filter.
eps	regularization term of Guided Filter. \({eps}^2\) is similar to the sigma in the color space into bilateralFilter.
dDepth	optional depth of the output image.

See also: bilateralFilter, dtFilter, amFilter

void cv::ximgproc::jointBilateralFilter	(	InputArray	joint,
		InputArray	src,
		OutputArray	dst,
		int	d,
		double	sigmaColor,
		double	sigmaSpace,
		int	borderType = `BORDER_DEFAULT`
	)

Applies the joint bilateral filter to an image.

Parameters

joint	Joint 8-bit or floating-point, 1-channel or 3-channel image.
src	Source 8-bit or floating-point, 1-channel or 3-channel image with the same depth as joint image.
dst	Destination image of the same size and type as src .
d	Diameter of each pixel neighborhood that is used during filtering. If it is non-positive, it is computed from sigmaSpace .
sigmaColor	Filter sigma in the color space. A larger value of the parameter means that farther colors within the pixel neighborhood (see sigmaSpace ) will be mixed together, resulting in larger areas of semi-equal color.
sigmaSpace	Filter sigma in the coordinate space. A larger value of the parameter means that farther pixels will influence each other as long as their colors are close enough (see sigmaColor ). When d>0 , it specifies the neighborhood size regardless of sigmaSpace . Otherwise, d is proportional to sigmaSpace .
borderType

Note: bilateralFilter and jointBilateralFilter use L1 norm to compute difference between colors.

See also: bilateralFilter, amFilter

void cv::ximgproc::l0Smooth	(	InputArray	src,
		OutputArray	dst,
		double	lambda = `0.02`,
		double	kappa = `2.0`
	)

Global image smoothing via L0 gradient minimization.

Parameters

src	source image for filtering with unsigned 8-bit or signed 16-bit or floating-point depth.
dst	destination image.
lambda	parameter defining the smooth term weight.
kappa	parameter defining the increasing factor of the weight of the gradient data term.

For more details about L0 Smoother, see the original paper [155].

int cv::ximgproc::readGT	(	String	src_path,
		OutputArray	dst
	)

Function for reading ground truth disparity maps. Supports basic Middlebury and MPI-Sintel formats. Note that the resulting disparity map is scaled by 16.

Parameters

src_path	path to the image, containing ground-truth disparity map
dst	output disparity map, CV_16S depth

Returns: returns zero if successfully read the ground truth

void cv::ximgproc::rollingGuidanceFilter	(	InputArray	src,
		OutputArray	dst,
		int	d = `-1`,
		double	sigmaColor = `25`,
		double	sigmaSpace = `3`,
		int	numOfIter = `4`,
		int	borderType = `BORDER_DEFAULT`
	)

Applies the rolling guidance filter to an image.

Parameters

src	Source 8-bit or floating-point, 1-channel or 3-channel image.
dst	Destination image of the same size and type as src.
d	Diameter of each pixel neighborhood that is used during filtering. If it is non-positive, it is computed from sigmaSpace .
sigmaColor	Filter sigma in the color space. A larger value of the parameter means that farther colors within the pixel neighborhood (see sigmaSpace ) will be mixed together, resulting in larger areas of semi-equal color.
sigmaSpace	Filter sigma in the coordinate space. A larger value of the parameter means that farther pixels will influence each other as long as their colors are close enough (see sigmaColor ). When d>0 , it specifies the neighborhood size regardless of sigmaSpace . Otherwise, d is proportional to sigmaSpace .
numOfIter	Number of iterations of joint edge-preserving filtering applied on the source image.
borderType

Note: rollingGuidanceFilter uses jointBilateralFilter as the edge-preserving filter.

See also: jointBilateralFilter, bilateralFilter, amFilter

Classes

Enumerations

Functions

Detailed Description

Enumeration Type Documentation

Function Documentation