Renesas
openCV library for Renesas RZ/A
Dependents: RZ_A2M_Mbed_samples
Diff: include/opencv2/imgproc/imgproc_c.h
- Revision:
- 0:0e0631af0305
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/include/opencv2/imgproc/imgproc_c.h Fri Jan 29 04:53:38 2021 +0000
@@ -0,0 +1,1210 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+// By downloading, copying, installing or using the software you agree to this license.
+// If you do not agree to this license, do not download, install,
+// copy or use the software.
+//
+//
+// License Agreement
+// For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+// * Redistribution's of source code must retain the above copyright notice,
+// this list of conditions and the following disclaimer.
+//
+// * Redistribution's in binary form must reproduce the above copyright notice,
+// this list of conditions and the following disclaimer in the documentation
+// and/or other materials provided with the distribution.
+//
+// * The name of the copyright holders may not be used to endorse or promote products
+// derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors "as is" and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#ifndef OPENCV_IMGPROC_IMGPROC_C_H
+#define OPENCV_IMGPROC_IMGPROC_C_H
+
+#include "opencv2/imgproc/types_c.h"
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+/** @addtogroup imgproc_c
+@{
+*/
+
+/*********************** Background statistics accumulation *****************************/
+
+/** @brief Adds image to accumulator
+@see cv::accumulate
+*/
+CVAPI(void) cvAcc( const CvArr* image, CvArr* sum,
+ const CvArr* mask CV_DEFAULT(NULL) );
+
+/** @brief Adds squared image to accumulator
+@see cv::accumulateSquare
+*/
+CVAPI(void) cvSquareAcc( const CvArr* image, CvArr* sqsum,
+ const CvArr* mask CV_DEFAULT(NULL) );
+
+/** @brief Adds a product of two images to accumulator
+@see cv::accumulateProduct
+*/
+CVAPI(void) cvMultiplyAcc( const CvArr* image1, const CvArr* image2, CvArr* acc,
+ const CvArr* mask CV_DEFAULT(NULL) );
+
+/** @brief Adds image to accumulator with weights: acc = acc*(1-alpha) + image*alpha
+@see cv::accumulateWeighted
+*/
+CVAPI(void) cvRunningAvg( const CvArr* image, CvArr* acc, double alpha,
+ const CvArr* mask CV_DEFAULT(NULL) );
+
+/****************************************************************************************\
+* Image Processing *
+\****************************************************************************************/
+
+/** Copies source 2D array inside of the larger destination array and
+ makes a border of the specified type (IPL_BORDER_*) around the copied area. */
+CVAPI(void) cvCopyMakeBorder( const CvArr* src, CvArr* dst, CvPoint offset,
+ int bordertype, CvScalar value CV_DEFAULT(cvScalarAll(0)));
+
+/** @brief Smooths the image in one of several ways.
+
+@param src The source image
+@param dst The destination image
+@param smoothtype Type of the smoothing, see SmoothMethod_c
+@param size1 The first parameter of the smoothing operation, the aperture width. Must be a
+positive odd number (1, 3, 5, ...)
+@param size2 The second parameter of the smoothing operation, the aperture height. Ignored by
+CV_MEDIAN and CV_BILATERAL methods. In the case of simple scaled/non-scaled and Gaussian blur if
+size2 is zero, it is set to size1. Otherwise it must be a positive odd number.
+@param sigma1 In the case of a Gaussian parameter this parameter may specify Gaussian \f$\sigma\f$
+(standard deviation). If it is zero, it is calculated from the kernel size:
+\f[\sigma = 0.3 (n/2 - 1) + 0.8 \quad \text{where} \quad n= \begin{array}{l l} \mbox{\texttt{size1} for horizontal kernel} \\ \mbox{\texttt{size2} for vertical kernel} \end{array}\f]
+Using standard sigma for small kernels ( \f$3\times 3\f$ to \f$7\times 7\f$ ) gives better speed. If
+sigma1 is not zero, while size1 and size2 are zeros, the kernel size is calculated from the
+sigma (to provide accurate enough operation).
+@param sigma2 additional parameter for bilateral filtering
+
+@see cv::GaussianBlur, cv::blur, cv::medianBlur, cv::bilateralFilter.
+ */
+CVAPI(void) cvSmooth( const CvArr* src, CvArr* dst,
+ int smoothtype CV_DEFAULT(CV_GAUSSIAN),
+ int size1 CV_DEFAULT(3),
+ int size2 CV_DEFAULT(0),
+ double sigma1 CV_DEFAULT(0),
+ double sigma2 CV_DEFAULT(0));
+
+/** @brief Convolves an image with the kernel.
+
+@param src input image.
+@param dst output image of the same size and the same number of channels as src.
+@param kernel convolution kernel (or rather a correlation kernel), a single-channel floating point
+matrix; if you want to apply different kernels to different channels, split the image into
+separate color planes using split and process them individually.
+@param anchor anchor of the kernel that indicates the relative position of a filtered point within
+the kernel; the anchor should lie within the kernel; default value (-1,-1) means that the anchor
+is at the kernel center.
+
+@see cv::filter2D
+ */
+CVAPI(void) cvFilter2D( const CvArr* src, CvArr* dst, const CvMat* kernel,
+ CvPoint anchor CV_DEFAULT(cvPoint(-1,-1)));
+
+/** @brief Finds integral image: SUM(X,Y) = sum(x<X,y<Y)I(x,y)
+@see cv::integral
+*/
+CVAPI(void) cvIntegral( const CvArr* image, CvArr* sum,
+ CvArr* sqsum CV_DEFAULT(NULL),
+ CvArr* tilted_sum CV_DEFAULT(NULL));
+
+/** @brief Smoothes the input image with gaussian kernel and then down-samples it.
+
+ dst_width = floor(src_width/2)[+1],
+ dst_height = floor(src_height/2)[+1]
+ @see cv::pyrDown
+*/
+CVAPI(void) cvPyrDown( const CvArr* src, CvArr* dst,
+ int filter CV_DEFAULT(CV_GAUSSIAN_5x5) );
+
+/** @brief Up-samples image and smoothes the result with gaussian kernel.
+
+ dst_width = src_width*2,
+ dst_height = src_height*2
+ @see cv::pyrUp
+*/
+CVAPI(void) cvPyrUp( const CvArr* src, CvArr* dst,
+ int filter CV_DEFAULT(CV_GAUSSIAN_5x5) );
+
+/** @brief Builds pyramid for an image
+@see buildPyramid
+*/
+CVAPI(CvMat**) cvCreatePyramid( const CvArr* img, int extra_layers, double rate,
+ const CvSize* layer_sizes CV_DEFAULT(0),
+ CvArr* bufarr CV_DEFAULT(0),
+ int calc CV_DEFAULT(1),
+ int filter CV_DEFAULT(CV_GAUSSIAN_5x5) );
+
+/** @brief Releases pyramid */
+CVAPI(void) cvReleasePyramid( CvMat*** pyramid, int extra_layers );
+
+
+/** @brief Filters image using meanshift algorithm
+@see cv::pyrMeanShiftFiltering
+*/
+CVAPI(void) cvPyrMeanShiftFiltering( const CvArr* src, CvArr* dst,
+ double sp, double sr, int max_level CV_DEFAULT(1),
+ CvTermCriteria termcrit CV_DEFAULT(cvTermCriteria(CV_TERMCRIT_ITER+CV_TERMCRIT_EPS,5,1)));
+
+/** @brief Segments image using seed "markers"
+@see cv::watershed
+*/
+CVAPI(void) cvWatershed( const CvArr* image, CvArr* markers );
+
+/** @brief Calculates an image derivative using generalized Sobel
+
+ (aperture_size = 1,3,5,7) or Scharr (aperture_size = -1) operator.
+ Scharr can be used only for the first dx or dy derivative
+@see cv::Sobel
+*/
+CVAPI(void) cvSobel( const CvArr* src, CvArr* dst,
+ int xorder, int yorder,
+ int aperture_size CV_DEFAULT(3));
+
+/** @brief Calculates the image Laplacian: (d2/dx + d2/dy)I
+@see cv::Laplacian
+*/
+CVAPI(void) cvLaplace( const CvArr* src, CvArr* dst,
+ int aperture_size CV_DEFAULT(3) );
+
+/** @brief Converts input array pixels from one color space to another
+@see cv::cvtColor
+*/
+CVAPI(void) cvCvtColor( const CvArr* src, CvArr* dst, int code );
+
+
+/** @brief Resizes image (input array is resized to fit the destination array)
+@see cv::resize
+*/
+CVAPI(void) cvResize( const CvArr* src, CvArr* dst,
+ int interpolation CV_DEFAULT( CV_INTER_LINEAR ));
+
+/** @brief Warps image with affine transform
+@note ::cvGetQuadrangleSubPix is similar to ::cvWarpAffine, but the outliers are extrapolated using
+replication border mode.
+@see cv::warpAffine
+*/
+CVAPI(void) cvWarpAffine( const CvArr* src, CvArr* dst, const CvMat* map_matrix,
+ int flags CV_DEFAULT(CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS),
+ CvScalar fillval CV_DEFAULT(cvScalarAll(0)) );
+
+/** @brief Computes affine transform matrix for mapping src[i] to dst[i] (i=0,1,2)
+@see cv::getAffineTransform
+*/
+CVAPI(CvMat*) cvGetAffineTransform( const CvPoint2D32f * src,
+ const CvPoint2D32f * dst,
+ CvMat * map_matrix );
+
+/** @brief Computes rotation_matrix matrix
+@see cv::getRotationMatrix2D
+*/
+CVAPI(CvMat*) cv2DRotationMatrix( CvPoint2D32f center, double angle,
+ double scale, CvMat* map_matrix );
+
+/** @brief Warps image with perspective (projective) transform
+@see cv::warpPerspective
+*/
+CVAPI(void) cvWarpPerspective( const CvArr* src, CvArr* dst, const CvMat* map_matrix,
+ int flags CV_DEFAULT(CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS),
+ CvScalar fillval CV_DEFAULT(cvScalarAll(0)) );
+
+/** @brief Computes perspective transform matrix for mapping src[i] to dst[i] (i=0,1,2,3)
+@see cv::getPerspectiveTransform
+*/
+CVAPI(CvMat*) cvGetPerspectiveTransform( const CvPoint2D32f* src,
+ const CvPoint2D32f* dst,
+ CvMat* map_matrix );
+
+/** @brief Performs generic geometric transformation using the specified coordinate maps
+@see cv::remap
+*/
+CVAPI(void) cvRemap( const CvArr* src, CvArr* dst,
+ const CvArr* mapx, const CvArr* mapy,
+ int flags CV_DEFAULT(CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS),
+ CvScalar fillval CV_DEFAULT(cvScalarAll(0)) );
+
+/** @brief Converts mapx & mapy from floating-point to integer formats for cvRemap
+@see cv::convertMaps
+*/
+CVAPI(void) cvConvertMaps( const CvArr* mapx, const CvArr* mapy,
+ CvArr* mapxy, CvArr* mapalpha );
+
+/** @brief Performs forward or inverse log-polar image transform
+@see cv::logPolar
+*/
+CVAPI(void) cvLogPolar( const CvArr* src, CvArr* dst,
+ CvPoint2D32f center, double M,
+ int flags CV_DEFAULT(CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS));
+
+/** Performs forward or inverse linear-polar image transform
+@see cv::linearPolar
+*/
+CVAPI(void) cvLinearPolar( const CvArr* src, CvArr* dst,
+ CvPoint2D32f center, double maxRadius,
+ int flags CV_DEFAULT(CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS));
+
+/** @brief Transforms the input image to compensate lens distortion
+@see cv::undistort
+*/
+CVAPI(void) cvUndistort2( const CvArr* src, CvArr* dst,
+ const CvMat* camera_matrix,
+ const CvMat* distortion_coeffs,
+ const CvMat* new_camera_matrix CV_DEFAULT(0) );
+
+/** @brief Computes transformation map from intrinsic camera parameters
+ that can used by cvRemap
+*/
+CVAPI(void) cvInitUndistortMap( const CvMat* camera_matrix,
+ const CvMat* distortion_coeffs,
+ CvArr* mapx, CvArr* mapy );
+
+/** @brief Computes undistortion+rectification map for a head of stereo camera
+@see cv::initUndistortRectifyMap
+*/
+CVAPI(void) cvInitUndistortRectifyMap( const CvMat* camera_matrix,
+ const CvMat* dist_coeffs,
+ const CvMat *R, const CvMat* new_camera_matrix,
+ CvArr* mapx, CvArr* mapy );
+
+/** @brief Computes the original (undistorted) feature coordinates
+ from the observed (distorted) coordinates
+@see cv::undistortPoints
+*/
+CVAPI(void) cvUndistortPoints( const CvMat* src, CvMat* dst,
+ const CvMat* camera_matrix,
+ const CvMat* dist_coeffs,
+ const CvMat* R CV_DEFAULT(0),
+ const CvMat* P CV_DEFAULT(0));
+
+/** @brief Returns a structuring element of the specified size and shape for morphological operations.
+
+@note the created structuring element IplConvKernel\* element must be released in the end using
+`cvReleaseStructuringElement(&element)`.
+
+@param cols Width of the structuring element
+@param rows Height of the structuring element
+@param anchor_x x-coordinate of the anchor
+@param anchor_y y-coordinate of the anchor
+@param shape element shape that could be one of the cv::MorphShapes_c
+@param values integer array of cols*rows elements that specifies the custom shape of the
+structuring element, when shape=CV_SHAPE_CUSTOM.
+
+@see cv::getStructuringElement
+ */
+ CVAPI(IplConvKernel*) cvCreateStructuringElementEx(
+ int cols, int rows, int anchor_x, int anchor_y,
+ int shape, int* values CV_DEFAULT(NULL) );
+
+/** @brief releases structuring element
+@see cvCreateStructuringElementEx
+*/
+CVAPI(void) cvReleaseStructuringElement( IplConvKernel** element );
+
+/** @brief erodes input image (applies minimum filter) one or more times.
+ If element pointer is NULL, 3x3 rectangular element is used
+@see cv::erode
+*/
+CVAPI(void) cvErode( const CvArr* src, CvArr* dst,
+ IplConvKernel* element CV_DEFAULT(NULL),
+ int iterations CV_DEFAULT(1) );
+
+/** @brief dilates input image (applies maximum filter) one or more times.
+
+ If element pointer is NULL, 3x3 rectangular element is used
+@see cv::dilate
+*/
+CVAPI(void) cvDilate( const CvArr* src, CvArr* dst,
+ IplConvKernel* element CV_DEFAULT(NULL),
+ int iterations CV_DEFAULT(1) );
+
+/** @brief Performs complex morphological transformation
+@see cv::morphologyEx
+*/
+CVAPI(void) cvMorphologyEx( const CvArr* src, CvArr* dst,
+ CvArr* temp, IplConvKernel* element,
+ int operation, int iterations CV_DEFAULT(1) );
+
+/** @brief Calculates all spatial and central moments up to the 3rd order
+@see cv::moments
+*/
+CVAPI(void) cvMoments( const CvArr* arr, CvMoments* moments, int binary CV_DEFAULT(0));
+
+/** @brief Retrieve spatial moments */
+CVAPI(double) cvGetSpatialMoment( CvMoments* moments, int x_order, int y_order );
+/** @brief Retrieve central moments */
+CVAPI(double) cvGetCentralMoment( CvMoments* moments, int x_order, int y_order );
+/** @brief Retrieve normalized central moments */
+CVAPI(double) cvGetNormalizedCentralMoment( CvMoments* moments,
+ int x_order, int y_order );
+
+/** @brief Calculates 7 Hu's invariants from precalculated spatial and central moments
+@see cv::HuMoments
+*/
+CVAPI(void) cvGetHuMoments( CvMoments* moments, CvHuMoments* hu_moments );
+
+/*********************************** data sampling **************************************/
+
+/** @brief Fetches pixels that belong to the specified line segment and stores them to the buffer.
+
+ Returns the number of retrieved points.
+@see cv::LineSegmentDetector
+*/
+CVAPI(int) cvSampleLine( const CvArr* image, CvPoint pt1, CvPoint pt2, void* buffer,
+ int connectivity CV_DEFAULT(8));
+
+/** @brief Retrieves the rectangular image region with specified center from the input array.
+
+ dst(x,y) <- src(x + center.x - dst_width/2, y + center.y - dst_height/2).
+ Values of pixels with fractional coordinates are retrieved using bilinear interpolation
+@see cv::getRectSubPix
+*/
+CVAPI(void) cvGetRectSubPix( const CvArr* src, CvArr* dst, CvPoint2D32f center );
+
+
+/** @brief Retrieves quadrangle from the input array.
+
+ matrixarr = ( a11 a12 | b1 ) dst(x,y) <- src(A[x y]' + b)
+ ( a21 a22 | b2 ) (bilinear interpolation is used to retrieve pixels
+ with fractional coordinates)
+@see cvWarpAffine
+*/
+CVAPI(void) cvGetQuadrangleSubPix( const CvArr* src, CvArr* dst,
+ const CvMat* map_matrix );
+
+/** @brief Measures similarity between template and overlapped windows in the source image
+ and fills the resultant image with the measurements
+@see cv::matchTemplate
+*/
+CVAPI(void) cvMatchTemplate( const CvArr* image, const CvArr* templ,
+ CvArr* result, int method );
+
+/** @brief Computes earth mover distance between
+ two weighted point sets (called signatures)
+@see cv::EMD
+*/
+CVAPI(float) cvCalcEMD2( const CvArr* signature1,
+ const CvArr* signature2,
+ int distance_type,
+ CvDistanceFunction distance_func CV_DEFAULT(NULL),
+ const CvArr* cost_matrix CV_DEFAULT(NULL),
+ CvArr* flow CV_DEFAULT(NULL),
+ float* lower_bound CV_DEFAULT(NULL),
+ void* userdata CV_DEFAULT(NULL));
+
+/****************************************************************************************\
+* Contours retrieving *
+\****************************************************************************************/
+
+/** @brief Retrieves outer and optionally inner boundaries of white (non-zero) connected
+ components in the black (zero) background
+@see cv::findContours, cvStartFindContours, cvFindNextContour, cvSubstituteContour, cvEndFindContours
+*/
+CVAPI(int) cvFindContours( CvArr* image, CvMemStorage* storage, CvSeq** first_contour,
+ int header_size CV_DEFAULT(sizeof(CvContour)),
+ int mode CV_DEFAULT(CV_RETR_LIST),
+ int method CV_DEFAULT(CV_CHAIN_APPROX_SIMPLE),
+ CvPoint offset CV_DEFAULT(cvPoint(0,0)));
+
+/** @brief Initializes contour retrieving process.
+
+ Calls cvStartFindContours.
+ Calls cvFindNextContour until null pointer is returned
+ or some other condition becomes true.
+ Calls cvEndFindContours at the end.
+@see cvFindContours
+*/
+CVAPI(CvContourScanner) cvStartFindContours( CvArr* image, CvMemStorage* storage,
+ int header_size CV_DEFAULT(sizeof(CvContour)),
+ int mode CV_DEFAULT(CV_RETR_LIST),
+ int method CV_DEFAULT(CV_CHAIN_APPROX_SIMPLE),
+ CvPoint offset CV_DEFAULT(cvPoint(0,0)));
+
+/** @brief Retrieves next contour
+@see cvFindContours
+*/
+CVAPI(CvSeq*) cvFindNextContour( CvContourScanner scanner );
+
+
+/** @brief Substitutes the last retrieved contour with the new one
+
+ (if the substitutor is null, the last retrieved contour is removed from the tree)
+@see cvFindContours
+*/
+CVAPI(void) cvSubstituteContour( CvContourScanner scanner, CvSeq* new_contour );
+
+
+/** @brief Releases contour scanner and returns pointer to the first outer contour
+@see cvFindContours
+*/
+CVAPI(CvSeq*) cvEndFindContours( CvContourScanner* scanner );
+
+/** @brief Approximates Freeman chain(s) with a polygonal curve.
+
+This is a standalone contour approximation routine, not represented in the new interface. When
+cvFindContours retrieves contours as Freeman chains, it calls the function to get approximated
+contours, represented as polygons.
+
+@param src_seq Pointer to the approximated Freeman chain that can refer to other chains.
+@param storage Storage location for the resulting polylines.
+@param method Approximation method (see the description of the function :ocvFindContours ).
+@param parameter Method parameter (not used now).
+@param minimal_perimeter Approximates only those contours whose perimeters are not less than
+minimal_perimeter . Other chains are removed from the resulting structure.
+@param recursive Recursion flag. If it is non-zero, the function approximates all chains that can
+be obtained from chain by using the h_next or v_next links. Otherwise, the single input chain is
+approximated.
+@see cvStartReadChainPoints, cvReadChainPoint
+ */
+CVAPI(CvSeq*) cvApproxChains( CvSeq* src_seq, CvMemStorage* storage,
+ int method CV_DEFAULT(CV_CHAIN_APPROX_SIMPLE),
+ double parameter CV_DEFAULT(0),
+ int minimal_perimeter CV_DEFAULT(0),
+ int recursive CV_DEFAULT(0));
+
+/** @brief Initializes Freeman chain reader.
+
+ The reader is used to iteratively get coordinates of all the chain points.
+ If the Freeman codes should be read as is, a simple sequence reader should be used
+@see cvApproxChains
+*/
+CVAPI(void) cvStartReadChainPoints( CvChain* chain, CvChainPtReader* reader );
+
+/** @brief Retrieves the next chain point
+@see cvApproxChains
+*/
+CVAPI(CvPoint) cvReadChainPoint( CvChainPtReader* reader );
+
+
+/****************************************************************************************\
+* Contour Processing and Shape Analysis *
+\****************************************************************************************/
+
+/** @brief Approximates a single polygonal curve (contour) or
+ a tree of polygonal curves (contours)
+@see cv::approxPolyDP
+*/
+CVAPI(CvSeq*) cvApproxPoly( const void* src_seq,
+ int header_size, CvMemStorage* storage,
+ int method, double eps,
+ int recursive CV_DEFAULT(0));
+
+/** @brief Calculates perimeter of a contour or length of a part of contour
+@see cv::arcLength
+*/
+CVAPI(double) cvArcLength( const void* curve,
+ CvSlice slice CV_DEFAULT(CV_WHOLE_SEQ),
+ int is_closed CV_DEFAULT(-1));
+
+/** same as cvArcLength for closed contour
+*/
+CV_INLINE double cvContourPerimeter( const void* contour )
+{
+ return cvArcLength( contour, CV_WHOLE_SEQ, 1 );
+}
+
+
+/** @brief Calculates contour bounding rectangle (update=1) or
+ just retrieves pre-calculated rectangle (update=0)
+@see cv::boundingRect
+*/
+CVAPI(CvRect) cvBoundingRect( CvArr* points, int update CV_DEFAULT(0) );
+
+/** @brief Calculates area of a contour or contour segment
+@see cv::contourArea
+*/
+CVAPI(double) cvContourArea( const CvArr* contour,
+ CvSlice slice CV_DEFAULT(CV_WHOLE_SEQ),
+ int oriented CV_DEFAULT(0));
+
+/** @brief Finds minimum area rotated rectangle bounding a set of points
+@see cv::minAreaRect
+*/
+CVAPI(CvBox2D) cvMinAreaRect2( const CvArr* points,
+ CvMemStorage* storage CV_DEFAULT(NULL));
+
+/** @brief Finds minimum enclosing circle for a set of points
+@see cv::minEnclosingCircle
+*/
+CVAPI(int) cvMinEnclosingCircle( const CvArr* points,
+ CvPoint2D32f* center, float* radius );
+
+/** @brief Compares two contours by matching their moments
+@see cv::matchShapes
+*/
+CVAPI(double) cvMatchShapes( const void* object1, const void* object2,
+ int method, double parameter CV_DEFAULT(0));
+
+/** @brief Calculates exact convex hull of 2d point set
+@see cv::convexHull
+*/
+CVAPI(CvSeq*) cvConvexHull2( const CvArr* input,
+ void* hull_storage CV_DEFAULT(NULL),
+ int orientation CV_DEFAULT(CV_CLOCKWISE),
+ int return_points CV_DEFAULT(0));
+
+/** @brief Checks whether the contour is convex or not (returns 1 if convex, 0 if not)
+@see cv::isContourConvex
+*/
+CVAPI(int) cvCheckContourConvexity( const CvArr* contour );
+
+
+/** @brief Finds convexity defects for the contour
+@see cv::convexityDefects
+*/
+CVAPI(CvSeq*) cvConvexityDefects( const CvArr* contour, const CvArr* convexhull,
+ CvMemStorage* storage CV_DEFAULT(NULL));
+
+/** @brief Fits ellipse into a set of 2d points
+@see cv::fitEllipse
+*/
+CVAPI(CvBox2D) cvFitEllipse2( const CvArr* points );
+
+/** @brief Finds minimum rectangle containing two given rectangles */
+CVAPI(CvRect) cvMaxRect( const CvRect* rect1, const CvRect* rect2 );
+
+/** @brief Finds coordinates of the box vertices */
+CVAPI(void) cvBoxPoints( CvBox2D box, CvPoint2D32f pt[4] );
+
+/** @brief Initializes sequence header for a matrix (column or row vector) of points
+
+ a wrapper for cvMakeSeqHeaderForArray (it does not initialize bounding rectangle!!!) */
+CVAPI(CvSeq*) cvPointSeqFromMat( int seq_kind, const CvArr* mat,
+ CvContour* contour_header,
+ CvSeqBlock* block );
+
+/** @brief Checks whether the point is inside polygon, outside, on an edge (at a vertex).
+
+ Returns positive, negative or zero value, correspondingly.
+ Optionally, measures a signed distance between
+ the point and the nearest polygon edge (measure_dist=1)
+@see cv::pointPolygonTest
+*/
+CVAPI(double) cvPointPolygonTest( const CvArr* contour,
+ CvPoint2D32f pt, int measure_dist );
+
+/****************************************************************************************\
+* Histogram functions *
+\****************************************************************************************/
+
+/** @brief Creates a histogram.
+
+The function creates a histogram of the specified size and returns a pointer to the created
+histogram. If the array ranges is 0, the histogram bin ranges must be specified later via the
+function cvSetHistBinRanges. Though cvCalcHist and cvCalcBackProject may process 8-bit images
+without setting bin ranges, they assume they are equally spaced in 0 to 255 bins.
+
+@param dims Number of histogram dimensions.
+@param sizes Array of the histogram dimension sizes.
+@param type Histogram representation format. CV_HIST_ARRAY means that the histogram data is
+represented as a multi-dimensional dense array CvMatND. CV_HIST_SPARSE means that histogram data
+is represented as a multi-dimensional sparse array CvSparseMat.
+@param ranges Array of ranges for the histogram bins. Its meaning depends on the uniform parameter
+value. The ranges are used when the histogram is calculated or backprojected to determine which
+histogram bin corresponds to which value/tuple of values from the input image(s).
+@param uniform Uniformity flag. If not zero, the histogram has evenly spaced bins and for every
+\f$0<=i<cDims\f$ ranges[i] is an array of two numbers: lower and upper boundaries for the i-th
+histogram dimension. The whole range [lower,upper] is then split into dims[i] equal parts to
+determine the i-th input tuple value ranges for every histogram bin. And if uniform=0 , then the
+i-th element of the ranges array contains dims[i]+1 elements: \f$\texttt{lower}_0,
+\texttt{upper}_0, \texttt{lower}_1, \texttt{upper}_1 = \texttt{lower}_2,
+...
+\texttt{upper}_{dims[i]-1}\f$ where \f$\texttt{lower}_j\f$ and \f$\texttt{upper}_j\f$ are lower
+and upper boundaries of the i-th input tuple value for the j-th bin, respectively. In either
+case, the input values that are beyond the specified range for a histogram bin are not counted
+by cvCalcHist and filled with 0 by cvCalcBackProject.
+ */
+CVAPI(CvHistogram*) cvCreateHist( int dims, int* sizes, int type,
+ float** ranges CV_DEFAULT(NULL),
+ int uniform CV_DEFAULT(1));
+
+/** @brief Sets the bounds of the histogram bins.
+
+This is a standalone function for setting bin ranges in the histogram. For a more detailed
+description of the parameters ranges and uniform, see the :ocvCalcHist function that can initialize
+the ranges as well. Ranges for the histogram bins must be set before the histogram is calculated or
+the backproject of the histogram is calculated.
+
+@param hist Histogram.
+@param ranges Array of bin ranges arrays. See :ocvCreateHist for details.
+@param uniform Uniformity flag. See :ocvCreateHist for details.
+ */
+CVAPI(void) cvSetHistBinRanges( CvHistogram* hist, float** ranges,
+ int uniform CV_DEFAULT(1));
+
+/** @brief Makes a histogram out of an array.
+
+The function initializes the histogram, whose header and bins are allocated by the user.
+cvReleaseHist does not need to be called afterwards. Only dense histograms can be initialized this
+way. The function returns hist.
+
+@param dims Number of the histogram dimensions.
+@param sizes Array of the histogram dimension sizes.
+@param hist Histogram header initialized by the function.
+@param data Array used to store histogram bins.
+@param ranges Histogram bin ranges. See cvCreateHist for details.
+@param uniform Uniformity flag. See cvCreateHist for details.
+ */
+CVAPI(CvHistogram*) cvMakeHistHeaderForArray(
+ int dims, int* sizes, CvHistogram* hist,
+ float* data, float** ranges CV_DEFAULT(NULL),
+ int uniform CV_DEFAULT(1));
+
+/** @brief Releases the histogram.
+
+The function releases the histogram (header and the data). The pointer to the histogram is cleared
+by the function. If \*hist pointer is already NULL, the function does nothing.
+
+@param hist Double pointer to the released histogram.
+ */
+CVAPI(void) cvReleaseHist( CvHistogram** hist );
+
+/** @brief Clears the histogram.
+
+The function sets all of the histogram bins to 0 in case of a dense histogram and removes all
+histogram bins in case of a sparse array.
+
+@param hist Histogram.
+ */
+CVAPI(void) cvClearHist( CvHistogram* hist );
+
+/** @brief Finds the minimum and maximum histogram bins.
+
+The function finds the minimum and maximum histogram bins and their positions. All of output
+arguments are optional. Among several extremas with the same value the ones with the minimum index
+(in the lexicographical order) are returned. In case of several maximums or minimums, the earliest
+in the lexicographical order (extrema locations) is returned.
+
+@param hist Histogram.
+@param min_value Pointer to the minimum value of the histogram.
+@param max_value Pointer to the maximum value of the histogram.
+@param min_idx Pointer to the array of coordinates for the minimum.
+@param max_idx Pointer to the array of coordinates for the maximum.
+ */
+CVAPI(void) cvGetMinMaxHistValue( const CvHistogram* hist,
+ float* min_value, float* max_value,
+ int* min_idx CV_DEFAULT(NULL),
+ int* max_idx CV_DEFAULT(NULL));
+
+
+/** @brief Normalizes the histogram.
+
+The function normalizes the histogram bins by scaling them so that the sum of the bins becomes equal
+to factor.
+
+@param hist Pointer to the histogram.
+@param factor Normalization factor.
+ */
+CVAPI(void) cvNormalizeHist( CvHistogram* hist, double factor );
+
+
+/** @brief Thresholds the histogram.
+
+The function clears histogram bins that are below the specified threshold.
+
+@param hist Pointer to the histogram.
+@param threshold Threshold level.
+ */
+CVAPI(void) cvThreshHist( CvHistogram* hist, double threshold );
+
+
+/** Compares two histogram */
+CVAPI(double) cvCompareHist( const CvHistogram* hist1,
+ const CvHistogram* hist2,
+ int method);
+
+/** @brief Copies a histogram.
+
+The function makes a copy of the histogram. If the second histogram pointer \*dst is NULL, a new
+histogram of the same size as src is created. Otherwise, both histograms must have equal types and
+sizes. Then the function copies the bin values of the source histogram to the destination histogram
+and sets the same bin value ranges as in src.
+
+@param src Source histogram.
+@param dst Pointer to the destination histogram.
+ */
+CVAPI(void) cvCopyHist( const CvHistogram* src, CvHistogram** dst );
+
+
+/** @brief Calculates bayesian probabilistic histograms
+ (each or src and dst is an array of _number_ histograms */
+CVAPI(void) cvCalcBayesianProb( CvHistogram** src, int number,
+ CvHistogram** dst);
+
+/** @brief Calculates array histogram
+@see cv::calcHist
+*/
+CVAPI(void) cvCalcArrHist( CvArr** arr, CvHistogram* hist,
+ int accumulate CV_DEFAULT(0),
+ const CvArr* mask CV_DEFAULT(NULL) );
+
+/** @overload */
+CV_INLINE void cvCalcHist( IplImage** image, CvHistogram* hist,
+ int accumulate CV_DEFAULT(0),
+ const CvArr* mask CV_DEFAULT(NULL) )
+{
+ cvCalcArrHist( (CvArr**)image, hist, accumulate, mask );
+}
+
+/** @brief Calculates back project
+@see cvCalcBackProject, cv::calcBackProject
+*/
+CVAPI(void) cvCalcArrBackProject( CvArr** image, CvArr* dst,
+ const CvHistogram* hist );
+
+#define cvCalcBackProject(image, dst, hist) cvCalcArrBackProject((CvArr**)image, dst, hist)
+
+
+/** @brief Locates a template within an image by using a histogram comparison.
+
+The function calculates the back projection by comparing histograms of the source image patches with
+the given histogram. The function is similar to matchTemplate, but instead of comparing the raster
+patch with all its possible positions within the search window, the function CalcBackProjectPatch
+compares histograms. See the algorithm diagram below:
+
+
+
+@param image Source images (though, you may pass CvMat\*\* as well).
+@param dst Destination image.
+@param range
+@param hist Histogram.
+@param method Comparison method passed to cvCompareHist (see the function description).
+@param factor Normalization factor for histograms that affects the normalization scale of the
+destination image. Pass 1 if not sure.
+
+@see cvCalcBackProjectPatch
+ */
+CVAPI(void) cvCalcArrBackProjectPatch( CvArr** image, CvArr* dst, CvSize range,
+ CvHistogram* hist, int method,
+ double factor );
+
+#define cvCalcBackProjectPatch( image, dst, range, hist, method, factor ) \
+ cvCalcArrBackProjectPatch( (CvArr**)image, dst, range, hist, method, factor )
+
+
+/** @brief Divides one histogram by another.
+
+The function calculates the object probability density from two histograms as:
+
+\f[\texttt{disthist} (I)= \forkthree{0}{if \(\texttt{hist1}(I)=0\)}{\texttt{scale}}{if \(\texttt{hist1}(I) \ne 0\) and \(\texttt{hist2}(I) > \texttt{hist1}(I)\)}{\frac{\texttt{hist2}(I) \cdot \texttt{scale}}{\texttt{hist1}(I)}}{if \(\texttt{hist1}(I) \ne 0\) and \(\texttt{hist2}(I) \le \texttt{hist1}(I)\)}\f]
+
+@param hist1 First histogram (the divisor).
+@param hist2 Second histogram.
+@param dst_hist Destination histogram.
+@param scale Scale factor for the destination histogram.
+ */
+CVAPI(void) cvCalcProbDensity( const CvHistogram* hist1, const CvHistogram* hist2,
+ CvHistogram* dst_hist, double scale CV_DEFAULT(255) );
+
+/** @brief equalizes histogram of 8-bit single-channel image
+@see cv::equalizeHist
+*/
+CVAPI(void) cvEqualizeHist( const CvArr* src, CvArr* dst );
+
+
+/** @brief Applies distance transform to binary image
+@see cv::distanceTransform
+*/
+CVAPI(void) cvDistTransform( const CvArr* src, CvArr* dst,
+ int distance_type CV_DEFAULT(CV_DIST_L2),
+ int mask_size CV_DEFAULT(3),
+ const float* mask CV_DEFAULT(NULL),
+ CvArr* labels CV_DEFAULT(NULL),
+ int labelType CV_DEFAULT(CV_DIST_LABEL_CCOMP));
+
+
+/** @brief Applies fixed-level threshold to grayscale image.
+
+ This is a basic operation applied before retrieving contours
+@see cv::threshold
+*/
+CVAPI(double) cvThreshold( const CvArr* src, CvArr* dst,
+ double threshold, double max_value,
+ int threshold_type );
+
+/** @brief Applies adaptive threshold to grayscale image.
+
+ The two parameters for methods CV_ADAPTIVE_THRESH_MEAN_C and
+ CV_ADAPTIVE_THRESH_GAUSSIAN_C are:
+ neighborhood size (3, 5, 7 etc.),
+ and a constant subtracted from mean (...,-3,-2,-1,0,1,2,3,...)
+@see cv::adaptiveThreshold
+*/
+CVAPI(void) cvAdaptiveThreshold( const CvArr* src, CvArr* dst, double max_value,
+ int adaptive_method CV_DEFAULT(CV_ADAPTIVE_THRESH_MEAN_C),
+ int threshold_type CV_DEFAULT(CV_THRESH_BINARY),
+ int block_size CV_DEFAULT(3),
+ double param1 CV_DEFAULT(5));
+
+/** @brief Fills the connected component until the color difference gets large enough
+@see cv::floodFill
+*/
+CVAPI(void) cvFloodFill( CvArr* image, CvPoint seed_point,
+ CvScalar new_val, CvScalar lo_diff CV_DEFAULT(cvScalarAll(0)),
+ CvScalar up_diff CV_DEFAULT(cvScalarAll(0)),
+ CvConnectedComp* comp CV_DEFAULT(NULL),
+ int flags CV_DEFAULT(4),
+ CvArr* mask CV_DEFAULT(NULL));
+
+/****************************************************************************************\
+* Feature detection *
+\****************************************************************************************/
+
+/** @brief Runs canny edge detector
+@see cv::Canny
+*/
+CVAPI(void) cvCanny( const CvArr* image, CvArr* edges, double threshold1,
+ double threshold2, int aperture_size CV_DEFAULT(3) );
+
+/** @brief Calculates constraint image for corner detection
+
+ Dx^2 * Dyy + Dxx * Dy^2 - 2 * Dx * Dy * Dxy.
+ Applying threshold to the result gives coordinates of corners
+@see cv::preCornerDetect
+*/
+CVAPI(void) cvPreCornerDetect( const CvArr* image, CvArr* corners,
+ int aperture_size CV_DEFAULT(3) );
+
+/** @brief Calculates eigen values and vectors of 2x2
+ gradient covariation matrix at every image pixel
+@see cv::cornerEigenValsAndVecs
+*/
+CVAPI(void) cvCornerEigenValsAndVecs( const CvArr* image, CvArr* eigenvv,
+ int block_size, int aperture_size CV_DEFAULT(3) );
+
+/** @brief Calculates minimal eigenvalue for 2x2 gradient covariation matrix at
+ every image pixel
+@see cv::cornerMinEigenVal
+*/
+CVAPI(void) cvCornerMinEigenVal( const CvArr* image, CvArr* eigenval,
+ int block_size, int aperture_size CV_DEFAULT(3) );
+
+/** @brief Harris corner detector:
+
+ Calculates det(M) - k*(trace(M)^2), where M is 2x2 gradient covariation matrix for each pixel
+@see cv::cornerHarris
+*/
+CVAPI(void) cvCornerHarris( const CvArr* image, CvArr* harris_response,
+ int block_size, int aperture_size CV_DEFAULT(3),
+ double k CV_DEFAULT(0.04) );
+
+/** @brief Adjust corner position using some sort of gradient search
+@see cv::cornerSubPix
+*/
+CVAPI(void) cvFindCornerSubPix( const CvArr* image, CvPoint2D32f* corners,
+ int count, CvSize win, CvSize zero_zone,
+ CvTermCriteria criteria );
+
+/** @brief Finds a sparse set of points within the selected region
+ that seem to be easy to track
+@see cv::goodFeaturesToTrack
+*/
+CVAPI(void) cvGoodFeaturesToTrack( const CvArr* image, CvArr* eig_image,
+ CvArr* temp_image, CvPoint2D32f* corners,
+ int* corner_count, double quality_level,
+ double min_distance,
+ const CvArr* mask CV_DEFAULT(NULL),
+ int block_size CV_DEFAULT(3),
+ int use_harris CV_DEFAULT(0),
+ double k CV_DEFAULT(0.04) );
+
+/** @brief Finds lines on binary image using one of several methods.
+
+ line_storage is either memory storage or 1 x _max number of lines_ CvMat, its
+ number of columns is changed by the function.
+ method is one of CV_HOUGH_*;
+ rho, theta and threshold are used for each of those methods;
+ param1 ~ line length, param2 ~ line gap - for probabilistic,
+ param1 ~ srn, param2 ~ stn - for multi-scale
+@see cv::HoughLines
+*/
+CVAPI(CvSeq*) cvHoughLines2( CvArr* image, void* line_storage, int method,
+ double rho, double theta, int threshold,
+ double param1 CV_DEFAULT(0), double param2 CV_DEFAULT(0),
+ double min_theta CV_DEFAULT(0), double max_theta CV_DEFAULT(CV_PI));
+
+/** @brief Finds circles in the image
+@see cv::HoughCircles
+*/
+CVAPI(CvSeq*) cvHoughCircles( CvArr* image, void* circle_storage,
+ int method, double dp, double min_dist,
+ double param1 CV_DEFAULT(100),
+ double param2 CV_DEFAULT(100),
+ int min_radius CV_DEFAULT(0),
+ int max_radius CV_DEFAULT(0));
+
+/** @brief Fits a line into set of 2d or 3d points in a robust way (M-estimator technique)
+@see cv::fitLine
+*/
+CVAPI(void) cvFitLine( const CvArr* points, int dist_type, double param,
+ double reps, double aeps, float* line );
+
+/****************************************************************************************\
+* Drawing *
+\****************************************************************************************/
+
+/****************************************************************************************\
+* Drawing functions work with images/matrices of arbitrary type. *
+* For color images the channel order is BGR[A] *
+* Antialiasing is supported only for 8-bit image now. *
+* All the functions include parameter color that means rgb value (that may be *
+* constructed with CV_RGB macro) for color images and brightness *
+* for grayscale images. *
+* If a drawn figure is partially or completely outside of the image, it is clipped.*
+\****************************************************************************************/
+
+#define CV_RGB( r, g, b ) cvScalar( (b), (g), (r), 0 )
+#define CV_FILLED -1
+
+#define CV_AA 16
+
+/** @brief Draws 4-connected, 8-connected or antialiased line segment connecting two points
+@see cv::line
+*/
+CVAPI(void) cvLine( CvArr* img, CvPoint pt1, CvPoint pt2,
+ CvScalar color, int thickness CV_DEFAULT(1),
+ int line_type CV_DEFAULT(8), int shift CV_DEFAULT(0) );
+
+/** @brief Draws a rectangle given two opposite corners of the rectangle (pt1 & pt2)
+
+ if thickness<0 (e.g. thickness == CV_FILLED), the filled box is drawn
+@see cv::rectangle
+*/
+CVAPI(void) cvRectangle( CvArr* img, CvPoint pt1, CvPoint pt2,
+ CvScalar color, int thickness CV_DEFAULT(1),
+ int line_type CV_DEFAULT(8),
+ int shift CV_DEFAULT(0));
+
+/** @brief Draws a rectangle specified by a CvRect structure
+@see cv::rectangle
+*/
+CVAPI(void) cvRectangleR( CvArr* img, CvRect r,
+ CvScalar color, int thickness CV_DEFAULT(1),
+ int line_type CV_DEFAULT(8),
+ int shift CV_DEFAULT(0));
+
+
+/** @brief Draws a circle with specified center and radius.
+
+ Thickness works in the same way as with cvRectangle
+@see cv::circle
+*/
+CVAPI(void) cvCircle( CvArr* img, CvPoint center, int radius,
+ CvScalar color, int thickness CV_DEFAULT(1),
+ int line_type CV_DEFAULT(8), int shift CV_DEFAULT(0));
+
+/** @brief Draws ellipse outline, filled ellipse, elliptic arc or filled elliptic sector
+
+ depending on _thickness_, _start_angle_ and _end_angle_ parameters. The resultant figure
+ is rotated by _angle_. All the angles are in degrees
+@see cv::ellipse
+*/
+CVAPI(void) cvEllipse( CvArr* img, CvPoint center, CvSize axes,
+ double angle, double start_angle, double end_angle,
+ CvScalar color, int thickness CV_DEFAULT(1),
+ int line_type CV_DEFAULT(8), int shift CV_DEFAULT(0));
+
+CV_INLINE void cvEllipseBox( CvArr* img, CvBox2D box, CvScalar color,
+ int thickness CV_DEFAULT(1),
+ int line_type CV_DEFAULT(8), int shift CV_DEFAULT(0) )
+{
+ CvSize axes;
+ axes.width = cvRound(box.size.width*0.5);
+ axes.height = cvRound(box.size.height*0.5);
+
+ cvEllipse( img, cvPointFrom32f( box.center ), axes, box.angle,
+ 0, 360, color, thickness, line_type, shift );
+}
+
+/** @brief Fills convex or monotonous polygon.
+@see cv::fillConvexPoly
+*/
+CVAPI(void) cvFillConvexPoly( CvArr* img, const CvPoint* pts, int npts, CvScalar color,
+ int line_type CV_DEFAULT(8), int shift CV_DEFAULT(0));
+
+/** @brief Fills an area bounded by one or more arbitrary polygons
+@see cv::fillPoly
+*/
+CVAPI(void) cvFillPoly( CvArr* img, CvPoint** pts, const int* npts,
+ int contours, CvScalar color,
+ int line_type CV_DEFAULT(8), int shift CV_DEFAULT(0) );
+
+/** @brief Draws one or more polygonal curves
+@see cv::polylines
+*/
+CVAPI(void) cvPolyLine( CvArr* img, CvPoint** pts, const int* npts, int contours,
+ int is_closed, CvScalar color, int thickness CV_DEFAULT(1),
+ int line_type CV_DEFAULT(8), int shift CV_DEFAULT(0) );
+
+#define cvDrawRect cvRectangle
+#define cvDrawLine cvLine
+#define cvDrawCircle cvCircle
+#define cvDrawEllipse cvEllipse
+#define cvDrawPolyLine cvPolyLine
+
+/** @brief Clips the line segment connecting *pt1 and *pt2
+ by the rectangular window
+
+ (0<=x<img_size.width, 0<=y<img_size.height).
+@see cv::clipLine
+*/
+CVAPI(int) cvClipLine( CvSize img_size, CvPoint* pt1, CvPoint* pt2 );
+
+/** @brief Initializes line iterator.
+
+Initially, line_iterator->ptr will point to pt1 (or pt2, see left_to_right description) location in
+the image. Returns the number of pixels on the line between the ending points.
+@see cv::LineIterator
+*/
+CVAPI(int) cvInitLineIterator( const CvArr* image, CvPoint pt1, CvPoint pt2,
+ CvLineIterator* line_iterator,
+ int connectivity CV_DEFAULT(8),
+ int left_to_right CV_DEFAULT(0));
+
+#define CV_NEXT_LINE_POINT( line_iterator ) \
+{ \
+ int _line_iterator_mask = (line_iterator).err < 0 ? -1 : 0; \
+ (line_iterator).err += (line_iterator).minus_delta + \
+ ((line_iterator).plus_delta & _line_iterator_mask); \
+ (line_iterator).ptr += (line_iterator).minus_step + \
+ ((line_iterator).plus_step & _line_iterator_mask); \
+}
+
+
+#define CV_FONT_HERSHEY_SIMPLEX 0
+#define CV_FONT_HERSHEY_PLAIN 1
+#define CV_FONT_HERSHEY_DUPLEX 2
+#define CV_FONT_HERSHEY_COMPLEX 3
+#define CV_FONT_HERSHEY_TRIPLEX 4
+#define CV_FONT_HERSHEY_COMPLEX_SMALL 5
+#define CV_FONT_HERSHEY_SCRIPT_SIMPLEX 6
+#define CV_FONT_HERSHEY_SCRIPT_COMPLEX 7
+
+#define CV_FONT_ITALIC 16
+
+#define CV_FONT_VECTOR0 CV_FONT_HERSHEY_SIMPLEX
+
+
+/** Font structure */
+typedef struct CvFont
+{
+ const char* nameFont; //Qt:nameFont
+ CvScalar color; //Qt:ColorFont -> cvScalar(blue_component, green_component, red_component[, alpha_component])
+ int font_face; //Qt: bool italic /** =CV_FONT_* */
+ const int* ascii; //!< font data and metrics
+ const int* greek;
+ const int* cyrillic;
+ float hscale, vscale;
+ float shear; //!< slope coefficient: 0 - normal, >0 - italic
+ int thickness; //!< Qt: weight /** letters thickness */
+ float dx; //!< horizontal interval between letters
+ int line_type; //!< Qt: PointSize
+}
+CvFont;
+
+/** @brief Initializes font structure (OpenCV 1.x API).
+
+The function initializes the font structure that can be passed to text rendering functions.
+
+@param font Pointer to the font structure initialized by the function
+@param font_face Font name identifier. See cv::HersheyFonts and corresponding old CV_* identifiers.
+@param hscale Horizontal scale. If equal to 1.0f , the characters have the original width
+depending on the font type. If equal to 0.5f , the characters are of half the original width.
+@param vscale Vertical scale. If equal to 1.0f , the characters have the original height depending
+on the font type. If equal to 0.5f , the characters are of half the original height.
+@param shear Approximate tangent of the character slope relative to the vertical line. A zero
+value means a non-italic font, 1.0f means about a 45 degree slope, etc.
+@param thickness Thickness of the text strokes
+@param line_type Type of the strokes, see line description
+
+@sa cvPutText
+ */
+CVAPI(void) cvInitFont( CvFont* font, int font_face,
+ double hscale, double vscale,
+ double shear CV_DEFAULT(0),
+ int thickness CV_DEFAULT(1),
+ int line_type CV_DEFAULT(8));
+
+CV_INLINE CvFont cvFont( double scale, int thickness CV_DEFAULT(1) )
+{
+ CvFont font;
+ cvInitFont( &font, CV_FONT_HERSHEY_PLAIN, scale, scale, 0, thickness, CV_AA );
+ return font;
+}
+
+/** @brief Renders text stroke with specified font and color at specified location.
+ CvFont should be initialized with cvInitFont
+@see cvInitFont, cvGetTextSize, cvFont, cv::putText
+*/
+CVAPI(void) cvPutText( CvArr* img, const char* text, CvPoint org,
+ const CvFont* font, CvScalar color );
+
+/** @brief Calculates bounding box of text stroke (useful for alignment)
+@see cv::getTextSize
+*/
+CVAPI(void) cvGetTextSize( const char* text_string, const CvFont* font,
+ CvSize* text_size, int* baseline );
+
+/** @brief Unpacks color value
+
+if arrtype is CV_8UC?, _color_ is treated as packed color value, otherwise the first channels
+(depending on arrtype) of destination scalar are set to the same value = _color_
+*/
+CVAPI(CvScalar) cvColorToScalar( double packed_color, int arrtype );
+
+/** @brief Returns the polygon points which make up the given ellipse.
+
+The ellipse is define by the box of size 'axes' rotated 'angle' around the 'center'. A partial
+sweep of the ellipse arc can be done by spcifying arc_start and arc_end to be something other than
+0 and 360, respectively. The input array 'pts' must be large enough to hold the result. The total
+number of points stored into 'pts' is returned by this function.
+@see cv::ellipse2Poly
+*/
+CVAPI(int) cvEllipse2Poly( CvPoint center, CvSize axes,
+ int angle, int arc_start, int arc_end, CvPoint * pts, int delta );
+
+/** @brief Draws contour outlines or filled interiors on the image
+@see cv::drawContours
+*/
+CVAPI(void) cvDrawContours( CvArr *img, CvSeq* contour,
+ CvScalar external_color, CvScalar hole_color,
+ int max_level, int thickness CV_DEFAULT(1),
+ int line_type CV_DEFAULT(8),
+ CvPoint offset CV_DEFAULT(cvPoint(0,0)));
+
+/** @} */
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif