cv.h

将OpenCV移植到DSP上

CVAPI(void)  cvSnakeImage( const IplImage* image, CvPoint* points,
                           int  length, float* alpha,
                           float* beta, float* gamma,
                           int coeff_usage, CvSize  win,
                           CvTermCriteria criteria, int calc_gradient CV_DEFAULT(1));

/* Calculates the cooficients of the homography matrix */
CVAPI(void)  cvCalcImageHomography( float* line, CvPoint3D32f* center,
                                    float* intrinsic, float* homography );

#define CV_DIST_MASK_3   3
#define CV_DIST_MASK_5   5
#define CV_DIST_MASK_PRECISE 0

/* Applies distance transform to binary image */
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));


/* Types of thresholding */
#define CV_THRESH_BINARY      0  /* value = value > threshold ? max_value : 0       */
#define CV_THRESH_BINARY_INV  1  /* value = value > threshold ? 0 : max_value       */
#define CV_THRESH_TRUNC       2  /* value = value > threshold ? threshold : value   */
#define CV_THRESH_TOZERO      3  /* value = value > threshold ? value : 0           */
#define CV_THRESH_TOZERO_INV  4  /* value = value > threshold ? 0 : value           */
#define CV_THRESH_MASK        7

#define CV_THRESH_OTSU        8  /* use Otsu algorithm to choose the optimal threshold value;
                                    combine the flag with one of the above CV_THRESH_* values */

/* Applies fixed-level threshold to grayscale image.
   This is a basic operation applied before retrieving contours */
CVAPI(void)  cvThreshold( const CvArr*  src, CvArr*  dst,
                          double  threshold, double  max_value,
                          int threshold_type );

#define CV_ADAPTIVE_THRESH_MEAN_C  0
#define CV_ADAPTIVE_THRESH_GAUSSIAN_C  1

/* 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,...) */
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));

#define CV_FLOODFILL_FIXED_RANGE (1 << 16)
#define CV_FLOODFILL_MASK_ONLY   (1 << 17)

/* Fills the connected component until the color difference gets large enough */
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                                     *
\****************************************************************************************/

#define CV_CANNY_L2_GRADIENT  (1 << 31)

/* Runs canny edge detector */
CVAPI(void)  cvCanny( const CvArr* image, CvArr* edges, double threshold1,
                      double threshold2, int  aperture_size CV_DEFAULT(3) );

/* 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 */
CVAPI(void) cvPreCornerDetect( const CvArr* image, CvArr* corners,
                              int aperture_size CV_DEFAULT(3) );

/* Calculates eigen values and vectors of 2x2
   gradient covariation matrix at every image pixel */
CVAPI(void)  cvCornerEigenValsAndVecs( const CvArr* image, CvArr* eigenvv,
                                      int block_size, int aperture_size CV_DEFAULT(3) );

/* Calculates minimal eigenvalue for 2x2 gradient covariation matrix at
   every image pixel */
CVAPI(void)  cvCornerMinEigenVal( const CvArr* image, CvArr* eigenval,
                                 int block_size, int aperture_size CV_DEFAULT(3) );

/* Harris corner detector:
   Calculates det(M) - k*(trace(M)^2), where M is 2x2 gradient covariation matrix for each pixel */
CVAPI(void)  cvCornerHarris( const CvArr* image, CvArr* harris_responce,
                             int block_size, int aperture_size CV_DEFAULT(3),
                             double k CV_DEFAULT(0.04) );

/* Adjust corner position using some sort of gradient search */
CVAPI(void)  cvFindCornerSubPix( const CvArr* image, CvPoint2D32f* corners,
                                 int count, CvSize win, CvSize zero_zone,
                                 CvTermCriteria  criteria );

/* Finds a sparse set of points within the selected region
   that seem to be easy to track */
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) );

#define CV_HOUGH_STANDARD 0
#define CV_HOUGH_PROBABILISTIC 1
#define CV_HOUGH_MULTI_SCALE 2
#define CV_HOUGH_GRADIENT 3

/* 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 */
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));

/* Finds circles in the image */
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));

/* Fits a line into set of 2d or 3d points in a robust way (M-estimator technique) */
CVAPI(void)  cvFitLine( const CvArr* points, int dist_type, double param,
                        double reps, double aeps, float* line );

/****************************************************************************************\
*                         Haar-like Object Detection functions                           *
\****************************************************************************************/

/* Loads haar classifier cascade from a directory.
   It is obsolete: convert your cascade to xml and use cvLoad instead */
CVAPI(CvHaarClassifierCascade*) cvLoadHaarClassifierCascade(
                    const char* directory, CvSize orig_window_size);

CVAPI(void) cvReleaseHaarClassifierCascade( CvHaarClassifierCascade** cascade );

#define CV_HAAR_DO_CANNY_PRUNING 1
#define CV_HAAR_SCALE_IMAGE      2

CVAPI(CvSeq*) cvHaarDetectObjects( const CvArr* image,
                     CvHaarClassifierCascade* cascade,
                     CvMemStorage* storage, double scale_factor CV_DEFAULT(1.1),
                     int min_neighbors CV_DEFAULT(3), int flags CV_DEFAULT(0),
                     CvSize min_size CV_DEFAULT(cvSize(0,0)));

/* sets images for haar classifier cascade */
CVAPI(void) cvSetImagesForHaarClassifierCascade( CvHaarClassifierCascade* cascade,
                                                const CvArr* sum, const CvArr* sqsum,
                                                const CvArr* tilted_sum, double scale );

/* runs the cascade on the specified window */
CVAPI(int) cvRunHaarClassifierCascade( CvHaarClassifierCascade* cascade,
                                      CvPoint pt, int start_stage CV_DEFAULT(0));

/****************************************************************************************\
*                     Camera Calibration and Rectification functions                     *
\****************************************************************************************/

/* transforms the input image to compensate lens distortion */
CVAPI(void) cvUndistort2( const CvArr* src, CvArr* dst,
                          const CvMat* intrinsic_matrix,
                          const CvMat* distortion_coeffs );

/* computes transformation map from intrinsic camera parameters
   that can used by cvRemap */
CVAPI(void) cvInitUndistortMap( const CvMat* intrinsic_matrix,
                                const CvMat* distortion_coeffs,
                                CvArr* mapx, CvArr* mapy );

/* converts rotation vector to rotation matrix or vice versa */
CVAPI(int) cvRodrigues2( const CvMat* src, CvMat* dst,
                         CvMat* jacobian CV_DEFAULT(0) );

/* finds perspective transformation between the object plane and image (view) plane */
CVAPI(void) cvFindHomography( const CvMat* src_points,
                              const CvMat* dst_points,
                              CvMat* homography );

/* projects object points to the view plane using
   the specified extrinsic and intrinsic camera parameters */
CVAPI(void) cvProjectPoints2( const CvMat* object_points, const CvMat* rotation_vector,
                              const CvMat* translation_vector, const CvMat* intrinsic_matrix,
                              const CvMat* distortion_coeffs, CvMat* image_points,
                              CvMat* dpdrot CV_DEFAULT(NULL), CvMat* dpdt CV_DEFAULT(NULL),
                              CvMat* dpdf CV_DEFAULT(NULL), CvMat* dpdc CV_DEFAULT(NULL),
                              CvMat* dpddist CV_DEFAULT(NULL) );

/* finds extrinsic camera parameters from
   a few known corresponding point pairs and intrinsic parameters */
CVAPI(void) cvFindExtrinsicCameraParams2( const CvMat* object_points,
                                          const CvMat* image_points,
                                          const CvMat* intrinsic_matrix,
                                          const CvMat* distortion_coeffs,
                                          CvMat* rotation_vector,
                                          CvMat* translation_vector );

#define CV_CALIB_USE_INTRINSIC_GUESS  1
#define CV_CALIB_FIX_ASPECT_RATIO     2
#define CV_CALIB_FIX_PRINCIPAL_POINT  4
#define CV_CALIB_ZERO_TANGENT_DIST    8

/* finds intrinsic and extrinsic camera parameters
   from a few views of known calibration pattern */
CVAPI(void) cvCalibrateCamera2( const CvMat* object_points,
                                const CvMat* image_points,
                                const CvMat* point_counts,
                                CvSize image_size,
                                CvMat* intrinsic_matrix,
                                CvMat* distortion_coeffs,
                                CvMat* rotation_vectors CV_DEFAULT(NULL),
                                CvMat* translation_vectors CV_DEFAULT(NULL),
                                int flags CV_DEFAULT(0) );

#define CV_CALIB_CB_ADAPTIVE_THRESH  1
#define CV_CALIB_CB_NORMALIZE_IMAGE  2
#define CV_CALIB_CB_FILTER_QUADS     4 

/* Detects corners on a chessboard calibration pattern */
CVAPI(int) cvFindChessboardCorners( const void* image, CvSize pattern_size,
                                    CvPoint2D32f* corners,
                                    int* corner_count CV_DEFAULT(NULL),
                                    int flags CV_DEFAULT(CV_CALIB_CB_ADAPTIVE_THRESH) );

/* Draws individual chessboard corners or the whole chessboard detected */
CVAPI(void) cvDrawChessboardCorners( CvArr* image, CvSize pattern_size,
                                     CvPoint2D32f* corners,
                                     int count, int pattern_was_found );

typedef struct CvPOSITObject CvPOSITObject;

/* Allocates and initializes CvPOSITObject structure before doing cvPOSIT */
CVAPI(CvPOSITObject*)  cvCreatePOSITObject( CvPoint3D32f* points, int point_count );


/* Runs POSIT (POSe from ITeration) algorithm for determining 3d position of
   an object given its model and projection in a weak-perspective case */
CVAPI(void)  cvPOSIT(  CvPOSITObject* posit_object, CvPoint2D32f* image_points,
                       double focal_length, CvTermCriteria criteria,
                       CvMatr32f rotation_matrix, CvVect32f translation_vector);

/* Releases CvPOSITObject structure */
CVAPI(void)  cvReleasePOSITObject( CvPOSITObject**  posit_object );


/****************************************************************************************\
*                                 Epipolar Geometry                                      *
\****************************************************************************************/

CVAPI(void) cvConvertPointsHomogenious( const CvMat* src, CvMat* dst );

/* Calculates fundamental matrix given a set of corresponding points */
#define CV_FM_7POINT 1
#define CV_FM_8POINT 2
#define CV_FM_LMEDS_ONLY  4
#define CV_FM_RANSAC_ONLY 8
#define CV_FM_LMEDS (CV_FM_LMEDS_ONLY + CV_FM_8POINT)
#define CV_FM_RANSAC (CV_FM_RANSAC_ONLY + CV_FM_8POINT)
CVAPI(int) cvFindFundamentalMat( const CvMat* points1, const CvMat* points2,
                                 CvMat* fundamental_matrix,
                                 int method CV_DEFAULT(CV_FM_RANSAC),
                                 double param1 CV_DEFAULT(1.), double param2 CV_DEFAULT(0.99),
                                 CvMat* status CV_DEFAULT(NULL) );

/* For each input point on one of images
   computes parameters of the corresponding
   epipolar line on the other image */
CVAPI(void) cvComputeCorrespondEpilines( const CvMat* points,
                                         int which_image,
                                         const CvMat* fundamental_matrix,
                                         CvMat* correspondent_lines );
                                         

#ifdef __cplusplus
}
#endif

#ifdef __cplusplus
#include "cv.hpp"
#endif

#endif /*_CV_H_*/