| OpenCV 3.4.7 Open Source Computer Vision

Namespaces | Classes | Typedefs | Enumerations | Functions
cv::ximgproc Namespace Reference

## Namespaces
| segmentation

## Classes
class | AdaptiveManifoldFilter
| Interface for Adaptive Manifold Filter realizations. More...
struct | Box
class | ContourFitting
| Class for ContourFitting algorithms. ContourFitting match two contours \( z_a \) and \( z_b \) minimizing distance

\[ d(z_a,z_b)=\sum (a_n - s b_n e^{j(n \alpha +\phi )})^2 \]

where \( a_n \) and \( b_n \) are Fourier descriptors of \( z_a \) and \( z_b \) and s is a scaling factor and \( \phi \) is angle rotation and \( \alpha \) is starting point factor adjustement. More...

class DisparityFilter
Main interface for all disparity map filters. More...
class 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 DTFilter
Interface for realizations of Domain Transform filter. More...
class EdgeAwareInterpolator
Sparse match interpolation algorithm based on modified locally-weighted affine estimator from [171] and Fast Global Smoother as post-processing filter. More...
class EdgeBoxes
Class implementing EdgeBoxes algorithm from [243] : More...
class FastBilateralSolverFilter
Interface for implementations of Fast Bilateral Solver. More...
class FastGlobalSmootherFilter
Interface for implementations of Fast Global Smoother filter. More...
class FastLineDetector
Class implementing the FLD (Fast Line Detector) algorithm described in [114] . More...
class GuidedFilter
Interface for realizations of Guided Filter. More...
class RFFeatureGetter
class RidgeDetectionFilter
Applies Ridge Detection Filter to an input image. Implements Ridge detection similar to the one in Mathematica using the eigen values from the Hessian Matrix of the input image using Sobel Derivatives. Additional refinement can be done using Skeletonization and Binarization. Adapted from [55] and [140]. More...
class 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...
class StructuredEdgeDetection
Class implementing edge detection algorithm from [49] : More...
class SuperpixelLSC
Class implementing the LSC (Linear Spectral Clustering) superpixels algorithm described in [118]. More...
class SuperpixelSEEDS
Class implementing the SEEDS (Superpixels Extracted via Energy-Driven Sampling) superpixels algorithm described in [209] . More...
class SuperpixelSLIC
Class implementing the SLIC (Simple Linear Iterative Clustering) superpixels algorithm described in [1]. More...

## Typedefs
typedef std::vector< Box > | Boxes
typedef enum SLIC | SLICType

## Enumerations
enum | AngleRangeOption { ARO_0_45 = 0, ARO_45_90 = 1, ARO_90_135 = 2, ARO_315_0 = 3, ARO_315_45 = 4, ARO_45_135 = 5, ARO_315_135 = 6, ARO_CTR_HOR = 7, ARO_CTR_VER = 8 }
| Specifies the part of Hough space to calculate. More...
enum | EdgeAwareFiltersList { DTF_NC, DTF_IC, DTF_RF, GUIDED_FILTER, AM_FILTER }
enum | HoughDeskewOption { HDO_RAW = 0, HDO_DESKEW = 1 }
| Specifies to do or not to do skewing of Hough transform image. More...
enum | HoughOp { FHT_MIN = 0, FHT_MAX = 1, FHT_ADD = 2, FHT_AVE = 3 }
| Specifies binary operations. More...
enum | LocalBinarizationMethods { BINARIZATION_NIBLACK = 0, BINARIZATION_SAUVOLA = 1, BINARIZATION_WOLF = 2, BINARIZATION_NICK = 3 }
| Specifies the binarization method to use in cv::ximgproc::niBlackThreshold. More...
enum | RulesOption { RO_STRICT = 0x00, RO_IGNORE_BORDERS = 0x01 }
| Specifies the degree of rules validation. More...
enum | SLIC { SLIC = 100, SLICO = 101, MSLIC = 102 }
enum | ThinningTypes { THINNING_ZHANGSUEN = 0, THINNING_GUOHALL = 1 }
enum | WMFWeightType { WMF_EXP = 1, WMF_IV1 = 1 << 1, WMF_IV2 = 1 << 2, WMF_COS = 1 << 3, WMF_JAC = 1 << 4, WMF_OFF = 1 << 5 }
| Specifies weight types of weighted median filter. More...

## Functions
void | 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...
void | anisotropicDiffusion (InputArray src, OutputArray dst, float alpha, float K, int niters)
| Performs anisotropic diffusian on an image. More...
void | bilateralTextureFilter (InputArray src, OutputArray dst, int fr=3, int numIter=1, double sigmaAlpha=-1., double sigmaAvg=-1.)
| Applies the bilateral texture filter to an image. It performs structure-preserving texture filter. For more details about this filter see [39]. More...
void | BrightEdges (Mat &_original, Mat &_edgeview, int contrast=1, int shortrange=3, int longrange=9)
double | 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 | computeMSE (InputArray GT, InputArray src, Rect ROI)
| Function for computing mean square error for disparity maps. More...
void | contourSampling (InputArray src, OutputArray out, int nbElt)
| Contour sampling . More...
void | covarianceEstimation (InputArray src, OutputArray dst, int windowRows, int windowCols)
| Computes the estimated covariance matrix of an image using the sliding window forumlation. More...
Ptr< AdaptiveManifoldFilter > | createAMFilter (double sigma_s, double sigma_r, bool adjust_outliers=false)
| Factory method, create instance of AdaptiveManifoldFilter and produce some initialization routines. More...
Ptr< ContourFitting > | createContourFitting (int ctr=1024, int fd=16)
| create ContourFitting algorithm object More...
Ptr< DisparityWLSFilter > | 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 > | 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 > | 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 > | createEdgeAwareInterpolator ()
| Factory method that creates an instance of the EdgeAwareInterpolator. More...
Ptr< EdgeBoxes > | createEdgeBoxes (float alpha=0.65f, float beta=0.75f, float eta=1, float minScore=0.01f, int maxBoxes=10000, float edgeMinMag=0.1f, float edgeMergeThr=0.5f, float clusterMinMag=0.5f, float maxAspectRatio=3, float minBoxArea=1000, float gamma=2, float kappa=1.5f)
| Creates a Edgeboxes. More...
Ptr< FastBilateralSolverFilter > | createFastBilateralSolverFilter (InputArray guide, double sigma_spatial, double sigma_luma, double sigma_chroma, double lambda=128.0, int num_iter=25, double max_tol=1e-5)
| Factory method, create instance of FastBilateralSolverFilter and execute the initialization routines. More...
Ptr< FastGlobalSmootherFilter > | 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< FastLineDetector > | createFastLineDetector (int _length_threshold=10, float _distance_threshold=1.414213562f, double _canny_th1=50.0, double _canny_th2=50.0, int _canny_aperture_size=3, bool _do_merge=false)
| Creates a smart pointer to a FastLineDetector object and initializes it. More...
Ptr< GuidedFilter > | createGuidedFilter (InputArray guide, int radius, double eps)
| Factory method, create instance of GuidedFilter and produce initialization routines. More...
Ptr< RFFeatureGetter > | createRFFeatureGetter ()
Ptr< StereoMatcher > | 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...
Ptr< StructuredEdgeDetection > | createStructuredEdgeDetection (const String &model, Ptr< const RFFeatureGetter > howToGetFeatures=Ptr< RFFeatureGetter >())
Ptr< SuperpixelLSC > | createSuperpixelLSC (InputArray image, int region_size=10, float ratio=0.075f)
| Class implementing the LSC (Linear Spectral Clustering) superpixels. More...
Ptr< SuperpixelSEEDS > | createSuperpixelSEEDS (int image_width, int image_height, int image_channels, int num_superpixels, int num_levels, int prior=2, int histogram_bins=5, bool double_step=false)
| Initializes a SuperpixelSEEDS object. More...
Ptr< SuperpixelSLIC > | createSuperpixelSLIC (InputArray image, int algorithm=SLICO, int region_size=10, float ruler=10.0f)
| Initialize a SuperpixelSLIC object. More...
void | 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 | fastBilateralSolverFilter (InputArray guide, InputArray src, InputArray confidence, OutputArray dst, double sigma_spatial=8, double sigma_luma=8, double sigma_chroma=8, double lambda=128.0, int num_iter=25, double max_tol=1e-5)
| Simple one-line Fast Bilateral Solver filter call. If you have multiple images to filter with the same guide then use FastBilateralSolverFilter interface to avoid extra computations. More...
void | 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 | FastHoughTransform (InputArray src, OutputArray dst, int dstMatDepth, int angleRange=ARO_315_135, int op=FHT_ADD, int makeSkew=HDO_DESKEW)
| Calculates 2D Fast Hough transform of an image. More...
void | fourierDescriptor (InputArray src, OutputArray dst, int nbElt=-1, int nbFD=-1)
| Fourier descriptors for planed closed curves. More...
void | getDisparityVis (InputArray src, OutputArray dst, double scale=1.0)
| Function for creating a disparity map visualization (clamped CV_8U image) More...
void | GradientDericheX (InputArray op, OutputArray dst, double alpha, double omega)
| Applies X Deriche filter to an image. More...
void | GradientDericheY (InputArray op, OutputArray dst, double alpha, double omega)
| Applies Y Deriche filter to an image. More...
void | GradientPaillouX (InputArray op, OutputArray _dst, double alpha, double omega)
void | GradientPaillouY (InputArray op, OutputArray _dst, double alpha, double omega)
| Applies Paillou filter to an image. More...
void | guidedFilter (InputArray guide, InputArray src, OutputArray dst, int radius, double eps, int dDepth=-1)
| Simple one-line Guided Filter call. More...
Vec4i | HoughPoint2Line (const Point &houghPoint, InputArray srcImgInfo, int angleRange=ARO_315_135, int makeSkew=HDO_DESKEW, int rules=RO_IGNORE_BORDERS)
| Calculates coordinates of line segment corresponded by point in Hough space. More...
void | 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 | l0Smooth (InputArray src, OutputArray dst, double lambda=0.02, double kappa=2.0)
| Global image smoothing via L0 gradient minimization. More...
void | niBlackThreshold (InputArray _src, OutputArray _dst, double maxValue, int type, int blockSize, double k, int binarizationMethod=BINARIZATION_NIBLACK)
| Performs thresholding on input images using Niblack's technique or some of the popular variations it inspired. More...
Matx23d | PeiLinNormalization (InputArray I)
| Calculates an affine transformation that normalize given image using Pei&Lin Normalization. More...
void | PeiLinNormalization (InputArray I, OutputArray T)
int | 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 | 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...
void | thinning (InputArray src, OutputArray dst, int thinningType=THINNING_ZHANGSUEN)
| Applies a binary blob thinning operation, to achieve a skeletization of the input image. More...
void | transformFD (InputArray src, InputArray t, OutputArray dst, bool fdContour=true)
| transform a contour More...
void | weightedMedianFilter (InputArray joint, InputArray src, OutputArray dst, int r, double sigma=25.5, int weightType=WMF_EXP, InputArray mask=noArray())
| Applies weighted median filter to an image. More...

## Enumeration Type Documentation

## § AngleRangeOption

enum cv::ximgproc::AngleRangeOption

Specifies the part of Hough space to calculate.

The enum specifies the part of Hough space to calculate. Each member specifies primarily direction of lines (horizontal or vertical) and the direction of angle changes. Direction of angle changes is from multiples of 90 to odd multiples of 45. The image considered to be written top-down and left-to-right. Angles are started from vertical line and go clockwise. Separate quarters and halves are written in orientation they should be in full Hough space.

Enumerator
ARO_0_45 Python: cv.ximgproc.ARO_0_45 |
ARO_45_90 Python: cv.ximgproc.ARO_45_90 |
ARO_90_135 Python: cv.ximgproc.ARO_90_135 |
ARO_315_0 Python: cv.ximgproc.ARO_315_0 |
ARO_315_45 Python: cv.ximgproc.ARO_315_45 |
ARO_45_135 Python: cv.ximgproc.ARO_45_135 |
ARO_315_135 Python: cv.ximgproc.ARO_315_135 |
ARO_CTR_HOR Python: cv.ximgproc.ARO_CTR_HOR |
ARO_CTR_VER Python: cv.ximgproc.ARO_CTR_VER |

## § HoughDeskewOption

enum cv::ximgproc::HoughDeskewOption

Specifies to do or not to do skewing of Hough transform image.

The enum specifies to do or not to do skewing of Hough transform image so it would be no cycling in Hough transform image through borders of image.

Enumerator
HDO_RAW Python: cv.ximgproc.HDO_RAW |
HDO_DESKEW Python: cv.ximgproc.HDO_DESKEW |

## § HoughOp

enum cv::ximgproc::HoughOp

Specifies binary operations.

The enum specifies binary operations, that is such ones which involve two operands. Formally, a binary operation \( f \) on a set \( S \) is a binary relation that maps elements of the Cartesian product \( S \times S \) to \( S \):

\[ f: S \times S \to S \]

Enumerator
FHT_MIN Python: cv.ximgproc.FHT_MIN |
FHT_MAX Python: cv.ximgproc.FHT_MAX |
FHT_ADD Python: cv.ximgproc.FHT_ADD |
FHT_AVE Python: cv.ximgproc.FHT_AVE |

## § LocalBinarizationMethods

enum cv::ximgproc::LocalBinarizationMethods

Specifies the binarization method to use in cv::ximgproc::niBlackThreshold.

Enumerator
BINARIZATION_NIBLACK Python: cv.ximgproc.BINARIZATION_NIBLACK | Classic Niblack binarization. See [154] .
BINARIZATION_SAUVOLA Python: cv.ximgproc.BINARIZATION_SAUVOLA | Sauvola's technique. See [181] .
BINARIZATION_WOLF Python: cv.ximgproc.BINARIZATION_WOLF | Wolf's technique. See [226] .
BINARIZATION_NICK Python: cv.ximgproc.BINARIZATION_NICK | NICK technique. See [106] .

## § RulesOption

enum cv::ximgproc::RulesOption

Specifies the degree of rules validation.

The enum specifies the degree of rules validation. This can be used, for example, to choose a proper way of input arguments validation.

Enumerator
RO_STRICT | Validate each rule in a proper way.
RO_IGNORE_BORDERS | Skip validations of image borders.

## § ThinningTypes

enum cv::ximgproc::ThinningTypes

Enumerator
THINNING_ZHANGSUEN Python: cv.ximgproc.THINNING_ZHANGSUEN |
THINNING_GUOHALL Python: cv.ximgproc.THINNING_GUOHALL |

## § WMFWeightType

enum cv::ximgproc::WMFWeightType

Specifies weight types of weighted median filter.

Enumerator
WMF_EXP Python: cv.ximgproc.WMF_EXP | \(exp(-|I1-I2|^2/(2*sigma^2))\)
WMF_IV1 Python: cv.ximgproc.WMF_IV1 | \((|I1-I2|+sigma)^-1\)
WMF_IV2 Python: cv.ximgproc.WMF_IV2 | \((|I1-I2|^2+sigma^2)^-1\)
WMF_COS Python: cv.ximgproc.WMF_COS | \(dot(I1,I2)/(|I1|*|I2|)\)
WMF_JAC Python: cv.ximgproc.WMF_JAC | \((min(r1,r2)+min(g1,g2)+min(b1,b2))/(max(r1,r2)+max(g1,g2)+max(b1,b2))\)
WMF_OFF Python: cv.ximgproc.WMF_OFF | unweighted

## Function Documentation

## § BrightEdges()

void cv::ximgproc::BrightEdges | ( | Mat & | _original,
|  | Mat & | _edgeview,
|  | int | contrast = `1`,
|  | int | shortrange = `3`,
|  | int | longrange = `9`
| ) |  |

## § covarianceEstimation()

void cv::ximgproc::covarianceEstimation | ( | InputArray | src,
|  | OutputArray | dst,
|  | int | windowRows,
|  | int | windowCols
| ) |  |

Python:
| dst | = | cv.ximgproc.covarianceEstimation( | src, windowRows, windowCols[, dst] | )

Computes the estimated covariance matrix of an image using the sliding window forumlation.

Parameters

  src | The source image. Input image must be of a complex type.
  dst | The destination estimated covariance matrix. Output matrix will be size (windowRows*windowCols, windowRows*windowCols).
  windowRows | The number of rows in the window.
  windowCols | The number of cols in the window. The window size parameters control the accuracy of the estimation. The sliding window moves over the entire image from the top-left corner to the bottom right corner. Each location of the window represents a sample. If the window is the size of the image, then this gives the exact covariance matrix. For all other cases, the sizes of the window will impact the number of samples and the number of elements in the estimated covariance matrix.

## § FastHoughTransform()

void cv::ximgproc::FastHoughTransform | ( | InputArray | src,
|  | OutputArray | dst,
|  | int | dstMatDepth,
|  | int | angleRange = `ARO_315_135`,
|  | int | op = `FHT_ADD`,
|  | int | makeSkew = `HDO_DESKEW`
| ) |  |

Python:
| dst | = | cv.ximgproc.FastHoughTransform( | src, dstMatDepth[, dst[, angleRange[, op[, makeSkew]]]] | )

Calculates 2D Fast Hough transform of an image.

Parameters

  dst | The destination image, result of transformation.
  src | The source (input) image.
  dstMatDepth | The depth of destination image
  op | The operation to be applied, see cv::HoughOp
  angleRange | The part of Hough space to calculate, see cv::AngleRangeOption
  makeSkew | Specifies to do or not to do image skewing, see cv::HoughDeskewOption

The function calculates the fast Hough transform for full, half or quarter range of angles.

## § HoughPoint2Line()

Vec4i cv::ximgproc::HoughPoint2Line | ( | const Point & | houghPoint,
|  | InputArray | srcImgInfo,
|  | int | angleRange = `ARO_315_135`,
|  | int | makeSkew = `HDO_DESKEW`,
|  | int | rules = `RO_IGNORE_BORDERS`
| ) |  |

Python:
| retval | = | cv.ximgproc.HoughPoint2Line( | houghPoint, srcImgInfo[, angleRange[, makeSkew[, rules]]] | )

Calculates coordinates of line segment corresponded by point in Hough space.

Parameters

  houghPoint | Point in Hough space.
  srcImgInfo | The source (input) image of Hough transform.
  angleRange | The part of Hough space where point is situated, see cv::AngleRangeOption
  makeSkew | Specifies to do or not to do image skewing, see cv::HoughDeskewOption
  rules | Specifies strictness of line segment calculating, see cv::RulesOption

Return values

  [Vec4i] | Coordinates of line segment corresponded by point in Hough space.

Remarks
  If rules parameter set to RO_STRICT then returned line cut along the border of source image.
  If rules parameter set to RO_WEAK then in case of point, which belongs the incorrect part of Hough image, returned line will not intersect source image.

The function calculates coordinates of line segment corresponded by point in Hough space.

## § weightedMedianFilter()

void cv::ximgproc::weightedMedianFilter | ( | InputArray | joint,
|  | InputArray | src,
|  | OutputArray | dst,
|  | int | r,
|  | double | sigma = `25.5`,
|  | int | weightType = `WMF_EXP`,
|  | InputArray | mask = `noArray()`
| ) |  |

Python:
| dst | = | cv.ximgproc.weightedMedianFilter( | joint, src, r[, dst[, sigma[, weightType[, mask]]]] | )

Applies weighted median filter to an image.

For more details about this implementation, please see [238]

Parameters

  joint | Joint 8-bit, 1-channel or 3-channel image.
  src | Source 8-bit or floating-point, 1-channel or 3-channel image.
  dst | Destination image.
  r | Radius of filtering kernel, should be a positive integer.
  sigma | Filter range standard deviation for the joint image.
  weightType | weightType The type of weight definition, see WMFWeightType
  mask | A 0-1 mask that has the same size with I. This mask is used to ignore the effect of some pixels. If the pixel value on mask is 0, the pixel will be ignored when maintaining the joint-histogram. This is useful for applications like optical flow occlusion handling.

See also
  medianBlur, jointBilateralFilter