opencv: /usr/ports/pobj/OpenCV-2.2.0/OpenCV-2.2.0/modules/imgproc/include/opencv2/imgproc/imgproc.hpp File Reference

Classes | Namespaces | Enumerations | Functions | Variables

# /usr/ports/pobj/OpenCV-2.2.0/OpenCV-2.2.0/modules/imgproc/include/opencv2/imgproc/imgproc.hpp File Reference

The Image Processing. More...

Go to the source code of this file.

## Classes
class | cv::BaseColumnFilter
class | cv::BaseFilter
class | cv::BaseRowFilter
struct | CvLSHOperations
class | cv::FilterEngine
struct | lsh_hash
class | cv::Moments
| raster image moments More...
## Namespaces
namespace | cv
## Enumerations
enum | { cv::BORDER_REPLICATE = IPL_BORDER_REPLICATE, cv::BORDER_CONSTANT = IPL_BORDER_CONSTANT, cv::BORDER_REFLECT = IPL_BORDER_REFLECT, cv::BORDER_WRAP = IPL_BORDER_WRAP, cv::BORDER_REFLECT_101 = IPL_BORDER_REFLECT_101, cv::BORDER_REFLECT101 = BORDER_REFLECT_101, cv::BORDER_TRANSPARENT = IPL_BORDER_TRANSPARENT, cv::BORDER_DEFAULT = BORDER_REFLECT_101, cv::BORDER_ISOLATED = 16 }
| various border interpolation methods More...
enum | { cv::KERNEL_GENERAL = 0, cv::KERNEL_SYMMETRICAL = 1, cv::KERNEL_ASYMMETRICAL = 2, cv::KERNEL_SMOOTH = 4, cv::KERNEL_INTEGER = 8 }
| type of the kernel More...
enum | { cv::MORPH_ERODE = 0, cv::MORPH_DILATE = 1, cv::MORPH_OPEN = 2, cv::MORPH_CLOSE = 3, cv::MORPH_GRADIENT = 4, cv::MORPH_TOPHAT = 5, cv::MORPH_BLACKHAT = 6 }
| type of morphological operation More...
enum | { cv::MORPH_RECT = 0, cv::MORPH_CROSS = 1, cv::MORPH_ELLIPSE = 2 }
| shape of the structuring element More...
enum | { cv::INTER_NEAREST = 0, cv::INTER_LINEAR = 1, cv::INTER_CUBIC = 2, cv::INTER_AREA = 3, cv::INTER_LANCZOS4 = 4, cv::INTER_MAX = 7, cv::WARP_INVERSE_MAP = 16 }
| interpolation algorithm More...
enum | { cv::INTER_BITS = 5, cv::INTER_BITS2 = INTER_BITS*2, cv::INTER_TAB_SIZE = (1<<INTER_BITS), cv::INTER_TAB_SIZE2 = INTER_TAB_SIZE*INTER_TAB_SIZE }
enum | { cv::THRESH_BINARY = 0, cv::THRESH_BINARY_INV = 1, cv::THRESH_TRUNC = 2, cv::THRESH_TOZERO = 3, cv::THRESH_TOZERO_INV = 4, cv::THRESH_MASK = 7, cv::THRESH_OTSU = 8 }
| type of the threshold operation More...
enum | { cv::ADAPTIVE_THRESH_MEAN_C = 0, cv::ADAPTIVE_THRESH_GAUSSIAN_C = 1 }
| adaptive threshold algorithm More...
enum | { cv::PROJ_SPHERICAL_ORTHO = 0, cv::PROJ_SPHERICAL_EQRECT = 1 }
enum | { cv::GC_BGD = 0, cv::GC_FGD = 1, cv::GC_PR_BGD = 2, cv::GC_PR_FGD = 3 }
| class of the pixel in GrabCut algorithm More...
enum | { cv::GC_INIT_WITH_RECT = 0, cv::GC_INIT_WITH_MASK = 1, cv::GC_EVAL = 2 }
| GrabCut algorithm flags. More...
enum | { cv::INPAINT_NS = 0, cv::INPAINT_TELEA = 1 }
| the inpainting algorithm More...
enum | { cv::FLOODFILL_FIXED_RANGE = 1 << 16, cv::FLOODFILL_MASK_ONLY = 1 << 17 }
enum | { cv::TM_SQDIFF = 0, cv::TM_SQDIFF_NORMED = 1, cv::TM_CCORR = 2, cv::TM_CCORR_NORMED = 3, cv::TM_CCOEFF = 4, cv::TM_CCOEFF_NORMED = 5 }
| type of the template matching operation More...
enum | { cv::RETR_EXTERNAL = 0, cv::RETR_LIST = 1, cv::RETR_CCOMP = 2, cv::RETR_TREE = 3 }
| mode of the contour retrieval algorithm More...
enum | { cv::CHAIN_APPROX_NONE = 0, cv::CHAIN_APPROX_SIMPLE = 1, cv::CHAIN_APPROX_TC89_L1 = 2, cv::CHAIN_APPROX_TC89_KCOS = 3 }
| the contour approximation algorithm More...
## Functions
CV_EXPORTS_W void | cv::accumulate (const Mat &src, CV_IN_OUT Mat &dst, const Mat &mask=Mat())
| adds image to the accumulator (dst += src). Unlike cv::add, dst and src can have different types.
CV_EXPORTS_W void | cv::accumulateProduct (const Mat &src1, const Mat &src2, CV_IN_OUT Mat &dst, const Mat &mask=Mat())
| adds product of the 2 images to the accumulator (dst += src1*src2).
CV_EXPORTS_W void | cv::accumulateSquare (const Mat &src, CV_IN_OUT Mat &dst, const Mat &mask=Mat())
| adds squared src image to the accumulator (dst += src*src).
CV_EXPORTS_W void | cv::accumulateWeighted (const Mat &src, CV_IN_OUT Mat &dst, double alpha, const Mat &mask=Mat())
| updates the running average (dst = dst*(1-alpha) + src*alpha)
CV_EXPORTS_W void | cv::adaptiveThreshold (const Mat &src, CV_OUT Mat &dst, double maxValue, int adaptiveMethod, int thresholdType, int blockSize, double C)
| applies variable (adaptive) threshold to the image
void | cv::approxPolyDP (const Mat &curve, CV_OUT vector< Point > &approxCurve, double epsilon, bool closed)
| approximates contour or a curve using Douglas-Peucker algorithm
CV_EXPORTS_W double | cv::arcLength (const Mat &curve, bool closed)
| computes the contour perimeter (closed=true) or a curve length
CV_EXPORTS_W void | cv::bilateralFilter (const Mat &src, CV_OUT Mat &dst, int d, double sigmaColor, double sigmaSpace, int borderType=BORDER_DEFAULT)
| smooths the image using bilateral filter
CV_EXPORTS_W void | cv::blur (const Mat &src, CV_OUT Mat &dst, Size ksize, Point anchor=Point(-1,-1), int borderType=BORDER_DEFAULT)
| a synonym for normalized box filter
CV_EXPORTS_W int | cv::borderInterpolate (int p, int len, int borderType)
| 1D interpolation function: returns coordinate of the "donor" pixel for the specified location p.
CV_EXPORTS_W Rect | cv::boundingRect (const Mat &points)
| computes the bounding rectangle for a contour
CV_EXPORTS_W void | cv::boxFilter (const Mat &src, CV_OUT Mat &dst, int ddepth, Size ksize, Point anchor=Point(-1,-1), bool normalize=true, int borderType=BORDER_DEFAULT)
| smooths the image using the box filter. Each pixel is processed in O(1) time
void | cv::buildPyramid (const Mat &src, CV_OUT vector< Mat > &dst, int maxlevel)
| builds the gaussian pyramid using pyrDown() as a basic operation
void | cv::calcBackProject (const Mat *images, int nimages, const int *channels, const Mat &hist, Mat &backProject, const float **ranges, double scale=1, bool uniform=true)
| computes back projection for the set of images
void | cv::calcBackProject (const Mat *images, int nimages, const int *channels, const SparseMat &hist, Mat &backProject, const float **ranges, double scale=1, bool uniform=true)
| computes back projection for the set of images
void | cv::calcHist (const Mat *images, int nimages, const int *channels, const Mat &mask, SparseMat &hist, int dims, const int *histSize, const float **ranges, bool uniform=true, bool accumulate=false)
| computes the joint sparse histogram for a set of images.
void | cv::calcHist (const Mat *images, int nimages, const int *channels, const Mat &mask, Mat &hist, int dims, const int *histSize, const float **ranges, bool uniform=true, bool accumulate=false)
| computes the joint dense histogram for a set of images.
CV_EXPORTS_W double | cv::compareHist (const Mat &H1, const Mat &H2, int method)
| compares two histograms stored in dense arrays
double | cv::compareHist (const SparseMat &H1, const SparseMat &H2, int method)
| compares two histograms stored in sparse arrays
CV_EXPORTS_W double | cv::contourArea (const Mat &contour, bool oriented=false)
| computes the contour area
CV_EXPORTS_W void | cv::convertMaps (const Mat &map1, const Mat &map2, CV_OUT Mat &dstmap1, CV_OUT Mat &dstmap2, int dstmap1type, bool nninterpolation=false)
| converts maps for remap from floating-point to fixed-point format or backwards
void | cv::convexHull (const Mat &points, CV_OUT vector< int > &hull, bool clockwise=false)
| computes convex hull for a set of 2D points.
void | cv::convexHull (const Mat &points, CV_OUT vector< Point > &hull, bool clockwise=false)
| computes convex hull for a set of 2D points.
CV_EXPORTS_W void | cv::copyMakeBorder (const Mat &src, CV_OUT Mat &dst, int top, int bottom, int left, int right, int borderType, const Scalar &value=Scalar())
| copies 2D array to a larger destination array with extrapolation of the outer part of src using the specified border mode
CV_EXPORTS_W void | cv::cornerEigenValsAndVecs (const Mat &src, CV_OUT Mat &dst, int blockSize, int ksize, int borderType=BORDER_DEFAULT)
| computes both eigenvalues and the eigenvectors of 2x2 derivative covariation matrix at each pixel. The output is stored as 6-channel matrix.
CV_EXPORTS_W void | cv::cornerHarris (const Mat &src, CV_OUT Mat &dst, int blockSize, int ksize, double k, int borderType=BORDER_DEFAULT)
| computes Harris cornerness criteria at each image pixel
CV_EXPORTS_W void | cv::cornerMinEigenVal (const Mat &src, CV_OUT Mat &dst, int blockSize, int ksize=3, int borderType=BORDER_DEFAULT)
| computes minimum eigen value of 2x2 derivative covariation matrix at each pixel - the cornerness criteria
void | cv::cornerSubPix (const Mat &image, vector< Point2f > &corners, Size winSize, Size zeroZone, TermCriteria criteria)
| adjusts the corner locations with sub-pixel accuracy to maximize the certain cornerness criteria
Ptr< FilterEngine > | cv::createBoxFilter (int srcType, int dstType, Size ksize, Point anchor=Point(-1,-1), bool normalize=true, int borderType=BORDER_DEFAULT)
| returns box filter engine
Ptr< FilterEngine > | cv::createDerivFilter (int srcType, int dstType, int dx, int dy, int ksize, int borderType=BORDER_DEFAULT)
| returns filter engine for the generalized Sobel operator
Ptr< FilterEngine > | cv::createGaussianFilter (int type, Size ksize, double sigma1, double sigma2=0, int borderType=BORDER_DEFAULT)
| returns the Gaussian filter engine
Ptr< FilterEngine > | cv::createLinearFilter (int srcType, int dstType, const Mat &kernel, Point _anchor=Point(-1,-1), double delta=0, int _rowBorderType=BORDER_DEFAULT, int _columnBorderType=-1, const Scalar &_borderValue=Scalar())
| returns the non-separable linear filter engine
Ptr< FilterEngine > | cv::createMorphologyFilter (int op, int type, const Mat &kernel, Point anchor=Point(-1,-1), int _rowBorderType=BORDER_CONSTANT, int _columnBorderType=-1, const Scalar &_borderValue=morphologyDefaultBorderValue())
| returns morphological filter engine. Only MORPH_ERODE and MORPH_DILATE are supported.
Ptr< FilterEngine > | cv::createSeparableLinearFilter (int srcType, int dstType, const Mat &rowKernel, const Mat &columnKernel, Point _anchor=Point(-1,-1), double delta=0, int _rowBorderType=BORDER_DEFAULT, int _columnBorderType=-1, const Scalar &_borderValue=Scalar())
| returns the separable linear filter engine
| cv::CV_EXPORTS_AS (canny) void Canny(const Mat &image
| applies Canny edge detector and produces the edge map.
| cv::CV_EXPORTS_AS (houghLines) void HoughLines(const Mat &image
| finds lines in the black-n-white image using the standard or pyramid Hough transform
| cv::CV_EXPORTS_AS (houghLinesP) void HoughLinesP(Mat &image
| finds line segments in the black-n-white image using probabalistic Hough transform
| cv::CV_EXPORTS_AS (houghCircles) void HoughCircles(const Mat &image
| finds circles in the grayscale image using 2+1 gradient Hough transform
| cv::CV_EXPORTS_AS (floodFillMask) int floodFill(Mat &image
| fills the semi-uniform image region and/or the mask starting from the specified seed point
| cv::CV_EXPORTS_AS (gaussianBlur) void GaussianBlur(const Mat &src
| smooths the image using Gaussian filter.
| cv::CV_EXPORTS_AS (integral2) void integral(const Mat &src
| computes the integral image and integral for the squared image
| cv::CV_EXPORTS_AS (integral3) void integral(const Mat &src
| computes the integral image, integral for the squared image and the tilted integral image
| cv::CV_EXPORTS_AS (sobel) void Sobel(const Mat &src
| applies generalized Sobel operator to the image
| cv::CV_EXPORTS_AS (scharr) void Scharr(const Mat &src
| applies the vertical or horizontal Scharr operator to the image
| cv::CV_EXPORTS_AS (laplacian) void Laplacian(const Mat &src
| applies Laplacian operator to the image
CV_EXPORTS_W void | cv::cvtColor (const Mat &src, CV_OUT Mat &dst, int code, int dstCn=0)
| converts image from one color space to another
CV_EXPORTS_W void | cv::dilate (const Mat &src, CV_OUT Mat &dst, const Mat &kernel, Point anchor=Point(-1,-1), int iterations=1, int borderType=BORDER_CONSTANT, const Scalar &borderValue=morphologyDefaultBorderValue())
| dilates the image (applies the local maximum operator)
CV_EXPORTS_W void | cv::distanceTransform (const Mat &src, CV_OUT Mat &dst, int distanceType, int maskSize)
| computes the distance transform map
void | cv::distanceTransform (const Mat &src, CV_OUT Mat &dst, Mat &labels, int distanceType, int maskSize)
| builds the discrete Voronoi diagram
void | cv::drawContours (Mat &image, const vector< vector< Point > > &contours, int contourIdx, const Scalar &color, int thickness=1, int lineType=8, const vector< Vec4i > &hierarchy=vector< Vec4i >(), int maxLevel=INT_MAX, Point offset=Point())
| draws contours in the image
CV_EXPORTS_W void | cv::equalizeHist (const Mat &src, CV_OUT Mat &dst)
| normalizes the grayscale image brightness and contrast by normalizing its histogram
CV_EXPORTS_W void | cv::erode (const Mat &src, CV_OUT Mat &dst, const Mat &kernel, Point anchor=Point(-1,-1), int iterations=1, int borderType=BORDER_CONSTANT, const Scalar &borderValue=morphologyDefaultBorderValue())
| erodes the image (applies the local minimum operator)
CV_EXPORTS_W Mat | cv::estimateRigidTransform (const Mat &A, const Mat &B, bool fullAffine)
| estimates the best-fit affine transformation that maps one 2D point set to another or one image to another.
CV_EXPORTS_W void | cv::filter2D (const Mat &src, CV_OUT Mat &dst, int ddepth, const Mat &kernel, Point anchor=Point(-1,-1), double delta=0, int borderType=BORDER_DEFAULT)
| applies non-separable 2D linear filter to the image
void | cv::findContours (Mat &image, CV_OUT vector< vector< Point > > &contours, int mode, int method, Point offset=Point())
| retrieves contours from black-n-white image.
void | cv::findContours (Mat &image, CV_OUT vector< vector< Point > > &contours, vector< Vec4i > &hierarchy, int mode, int method, Point offset=Point())
| retrieves contours and the hierarchical information from black-n-white image.
CV_EXPORTS_W RotatedRect | cv::fitEllipse (const Mat &points)
| fits ellipse to the set of 2D points
void | cv::fitLine (const Mat &points, CV_OUT Vec4f &line, int distType, double param, double reps, double aeps)
| fits line to the set of 2D points using M-estimator algorithm
CV_EXPORTS_W int | cv::floodFill (Mat &image, Point seedPoint, Scalar newVal, CV_OUT Rect *rect=0, Scalar loDiff=Scalar(), Scalar upDiff=Scalar(), int flags=4)
| fills the semi-uniform image region starting from the specified seed point
Mat | cv::getAffineTransform (const Point2f src[], const Point2f dst[])
| returns 2x3 affine transformation for the corresponding 3 point pairs.
Ptr< BaseColumnFilter > | cv::getColumnSumFilter (int sumType, int dstType, int ksize, int anchor=-1, double scale=1)
| returns vertical 1D box filter
CV_EXPORTS_W Mat | cv::getDefaultNewCameraMatrix (const Mat &cameraMatrix, Size imgsize=Size(), bool centerPrincipalPoint=false)
| returns the default new camera matrix (by default it is the same as cameraMatrix unless centerPricipalPoint=true)
CV_EXPORTS_W void | cv::getDerivKernels (CV_OUT Mat &kx, CV_OUT Mat &ky, int dx, int dy, int ksize, bool normalize=false, int ktype=CV_32F)
| initializes kernels of the generalized Sobel operator
CV_EXPORTS_W Mat | cv::getGaussianKernel (int ksize, double sigma, int ktype=CV_64F)
| returns the Gaussian kernel with the specified parameters
int | cv::getKernelType (const Mat &kernel, Point anchor)
| returns type (one of KERNEL_*) of 1D or 2D kernel specified by its coefficients.
Ptr< BaseColumnFilter > | cv::getLinearColumnFilter (int bufType, int dstType, const Mat &kernel, int anchor, int symmetryType, double delta=0, int bits=0)
| returns the primitive column filter with the specified kernel
Ptr< BaseFilter > | cv::getLinearFilter (int srcType, int dstType, const Mat &kernel, Point anchor=Point(-1,-1), double delta=0, int bits=0)
| returns 2D filter with the specified kernel
Ptr< BaseRowFilter > | cv::getLinearRowFilter (int srcType, int bufType, const Mat &kernel, int anchor, int symmetryType)
| returns the primitive row filter with the specified kernel
Ptr< BaseColumnFilter > | cv::getMorphologyColumnFilter (int op, int type, int ksize, int anchor=-1)
| returns vertical 1D morphological filter
Ptr< BaseFilter > | cv::getMorphologyFilter (int op, int type, const Mat &kernel, Point anchor=Point(-1,-1))
| returns 2D morphological filter
Ptr< BaseRowFilter > | cv::getMorphologyRowFilter (int op, int type, int ksize, int anchor=-1)
| returns horizontal 1D morphological filter
Mat | cv::getPerspectiveTransform (const Point2f src[], const Point2f dst[])
| returns 3x3 perspective transformation for the corresponding 4 point pairs.
CV_EXPORTS_W void | cv::getRectSubPix (const Mat &image, Size patchSize, Point2f center, CV_OUT Mat &patch, int patchType=-1)
| extracts rectangle from the image at sub-pixel location
CV_EXPORTS_W Mat | cv::getRotationMatrix2D (Point2f center, double angle, double scale)
| returns 2x3 affine transformation matrix for the planar rotation.
Ptr< BaseRowFilter > | cv::getRowSumFilter (int srcType, int sumType, int ksize, int anchor=-1)
| returns horizontal 1D box filter
CV_EXPORTS_W Mat | cv::getStructuringElement (int shape, Size ksize, Point anchor=Point(-1,-1))
| returns structuring element of the specified shape and size
CV_EXPORTS_W void | cv::goodFeaturesToTrack (const Mat &image, CV_OUT vector< Point2f > &corners, int maxCorners, double qualityLevel, double minDistance, const Mat &mask=Mat(), int blockSize=3, bool useHarrisDetector=false, double k=0.04)
| finds the strong enough corners where the cornerMinEigenVal() or cornerHarris() report the local maxima
CV_EXPORTS_W void | cv::grabCut (const Mat &img, Mat &mask, Rect rect, Mat &bgdModel, Mat &fgdModel, int iterCount, int mode=GC_EVAL)
| segments the image using GrabCut algorithm
void | cv::HuMoments (const Moments &moments, double hu[7])
| computes 7 Hu invariants from the moments
CV_EXPORTS_W void | cv::initUndistortRectifyMap (const Mat &cameraMatrix, const Mat &distCoeffs, const Mat &R, const Mat &newCameraMatrix, Size size, int m1type, CV_OUT Mat &map1, CV_OUT Mat &map2)
| initializes maps for cv::remap() to correct lens distortion and optionally rectify the image
CV_EXPORTS_W float | cv::initWideAngleProjMap (const Mat &cameraMatrix, const Mat &distCoeffs, Size imageSize, int destImageWidth, int m1type, CV_OUT Mat &map1, CV_OUT Mat &map2, int projType=PROJ_SPHERICAL_EQRECT, double alpha=0)
| initializes maps for cv::remap() for wide-angle
CV_EXPORTS_W void | cv::inpaint (const Mat &src, const Mat &inpaintMask, CV_OUT Mat &dst, double inpaintRange, int flags)
| restores the damaged image areas using one of the available intpainting algorithms
CV_EXPORTS_W void | cv::integral (const Mat &src, CV_OUT Mat &sum, int sdepth=-1)
| computes the integral image
CV_EXPORTS_W void | cv::invertAffineTransform (const Mat &M, CV_OUT Mat &iM)
| computes 2x3 affine transformation matrix that is inverse to the specified 2x3 affine transformation.
CV_EXPORTS_W bool | cv::isContourConvex (const Mat &contour)
| returns true iff the contour is convex. Does not support contours with self-intersection
CV_EXPORTS_W double | cv::matchShapes (const Mat &contour1, const Mat &contour2, int method, double parameter)
| matches two contours using one of the available algorithms
CV_EXPORTS_W void | cv::matchTemplate (const Mat &image, const Mat &templ, CV_OUT Mat &result, int method)
| computes the proximity map for the raster template and the image where the template is searched for
CV_EXPORTS_W void | cv::medianBlur (const Mat &src, CV_OUT Mat &dst, int ksize)
| smooths the image using median filter.
CV_EXPORTS_W RotatedRect | cv::minAreaRect (const Mat &points)
| computes the minimal rotated rectangle for a set of points
CV_EXPORTS_W void | cv::minEnclosingCircle (const Mat &points, Point2f &center, float &radius)
| computes the minimal enclosing circle for a set of points
CV_EXPORTS_W Moments | cv::moments (const Mat &array, bool binaryImage=false)
| computes moments of the rasterized shape or a vector of points
CV_EXPORTS_W void | cv::morphologyEx (const Mat &src, CV_OUT Mat &dst, int op, const Mat &kernel, Point anchor=Point(-1,-1), int iterations=1, int borderType=BORDER_CONSTANT, const Scalar &borderValue=morphologyDefaultBorderValue())
| applies an advanced morphological operation to the image
CV_EXPORTS_W double | cv::pointPolygonTest (const Mat &contour, Point2f pt, bool measureDist)
| checks if the point is inside the contour. Optionally computes the signed distance from the point to the contour boundary
CV_EXPORTS_W void | cv::preCornerDetect (const Mat &src, CV_OUT Mat &dst, int ksize, int borderType=BORDER_DEFAULT)
| computes another complex cornerness criteria at each pixel
CV_EXPORTS_W void | cv::pyrDown (const Mat &src, CV_OUT Mat &dst, const Size &dstsize=Size())
| smooths and downsamples the image
CV_EXPORTS_W void | cv::pyrMeanShiftFiltering (const Mat &src, CV_OUT Mat &dst, double sp, double sr, int maxLevel=1, TermCriteria termcrit=TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS, 5, 1))
| filters image using meanshift algorithm
CV_EXPORTS_W void | cv::pyrUp (const Mat &src, CV_OUT Mat &dst, const Size &dstsize=Size())
| upsamples and smoothes the image
CV_EXPORTS_W void | cv::remap (const Mat &src, CV_OUT Mat &dst, const Mat &map1, const Mat &map2, int interpolation, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar())
| warps the image using the precomputed maps. The maps are stored in either floating-point or integer fixed-point format
CV_EXPORTS_W void | cv::resize (const Mat &src, CV_OUT Mat &dst, Size dsize, double fx=0, double fy=0, int interpolation=INTER_LINEAR)
| resizes the image
CV_EXPORTS_W void | cv::sepFilter2D (const Mat &src, CV_OUT Mat &dst, int ddepth, const Mat &kernelX, const Mat &kernelY, Point anchor=Point(-1,-1), double delta=0, int borderType=BORDER_DEFAULT)
| applies separable 2D linear filter to the image
CV_EXPORTS_W double | cv::threshold (const Mat &src, CV_OUT Mat &dst, double thresh, double maxval, int type)
| applies fixed threshold to the image
CV_EXPORTS_W void | cv::undistort (const Mat &src, CV_OUT Mat &dst, const Mat &cameraMatrix, const Mat &distCoeffs, const Mat &newCameraMatrix=Mat())
| corrects lens distortion for the given camera matrix and distortion coefficients
void | cv::undistortPoints (const Mat &src, CV_OUT vector< Point2f > &dst, const Mat &cameraMatrix, const Mat &distCoeffs, const Mat &R=Mat(), const Mat &P=Mat())
| returns points' coordinates after lens distortion correction
CV_EXPORTS_W void | cv::undistortPoints (const Mat &src, CV_OUT Mat &dst, const Mat &cameraMatrix, const Mat &distCoeffs, const Mat &R=Mat(), const Mat &P=Mat())
| returns points' coordinates after lens distortion correction
CV_EXPORTS_W void | cv::warpAffine (const Mat &src, CV_OUT Mat &dst, const Mat &M, Size dsize, int flags=INTER_LINEAR, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar())
| warps the image using affine transformation
CV_EXPORTS_W void | cv::warpPerspective (const Mat &src, CV_OUT Mat &dst, const Mat &M, Size dsize, int flags=INTER_LINEAR, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar())
| warps the image using perspective transformation
CV_EXPORTS_W void | cv::watershed (const Mat &image, Mat &markers)
| segments the image using watershed algorithm
## Variables
CV_OUT Mat double double int | cv::apertureSize = 3
CV_OUT Mat Size double double int | cv::borderType = BORDER_DEFAULT )
CV_OUT vector< Vec3f > & | cv::circles
CV_OUT Mat int | cv::ddepth
CV_OUT Mat int int int int double double | cv::delta = 0
CV_OUT vector< Vec3f > int double | cv::dp
CV_OUT Mat & | cv::dst
CV_OUT Mat int int | cv::dx
CV_OUT Mat int int int | cv::dy
CV_OUT Mat & | cv::edges
Mat Point Scalar CV_OUT Rect Scalar Scalar int | cv::flags = 4 )
CV_OUT Mat Size | cv::ksize = 3
CV_OUT Mat double double int bool | cv::L2gradient = false )
CV_OUT vector< Vec2f > & | cv::lines
Mat Point Scalar CV_OUT Rect Scalar | cv::loDiff = Scalar()
Mat & | cv::mask
CV_OUT vector< Vec4i > double double int double double | cv::maxLineGap = 0 )
CV_OUT vector< Vec3f > int double double double double int int | cv::maxRadius = 0 )
CV_OUT vector< Vec3f > int | cv::method = 0
CV_OUT vector< Vec3f > int double double | cv::minDist
CV_OUT vector< Vec4i > double double int double | cv::minLineLength = 0
CV_OUT vector< Vec3f > int double double double double int | cv::minRadius = 0
Mat Point Scalar | cv::newVal
CV_OUT vector< Vec3f > int double double double | cv::param1 = 100
CV_OUT vector< Vec3f > int double double double double | cv::param2 = 100
Mat Point Scalar CV_OUT Rect * | cv::rect = 0
CV_OUT vector< Vec2f > double | cv::rho
CV_OUT Mat int int int int double | cv::scale = 1
CV_OUT Mat CV_OUT Mat int | cv::sdepth = -1 )
Mat Point | cv::seedPoint
CV_OUT Mat Size double | cv::sigma1
CV_OUT Mat Size double double | cv::sigma2 = 0
CV_OUT Mat CV_OUT Mat & | cv::sqsum
CV_OUT vector< Vec2f > double double int double | cv::srn = 0
CV_OUT vector< Vec2f > double double int double double | cv::stn = 0 )
CV_OUT Mat & | cv::sum
CV_OUT vector< Vec2f > double double | cv::theta
CV_OUT vector< Vec2f > double double int | cv::threshold
CV_OUT Mat double | cv::threshold1
CV_OUT Mat double double | cv::threshold2
CV_OUT Mat CV_OUT Mat CV_OUT Mat & | cv::tilted
Mat Point Scalar CV_OUT Rect Scalar Scalar | cv::upDiff = Scalar()

## Detailed Description

The Image Processing.

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