cxcore.h

将OpenCV移植到DSP上

CVAPI(void)  cvCartToPolar( const CvArr* x, const CvArr* y,
                            CvArr* magnitude, CvArr* angle CV_DEFAULT(NULL),
                            int angle_in_degrees CV_DEFAULT(0));

/* Does polar->cartesian coordinates conversion.
   Either of output components (magnitude or angle) is optional.
   If magnitude is missing it is assumed to be all 1's */
CVAPI(void)  cvPolarToCart( const CvArr* magnitude, const CvArr* angle,
                            CvArr* x, CvArr* y,
                            int angle_in_degrees CV_DEFAULT(0));

/* Does powering: dst(idx) = src(idx)^power */
CVAPI(void)  cvPow( const CvArr* src, CvArr* dst, double power );

/* Does exponention: dst(idx) = exp(src(idx)).
   Overflow is not handled yet. Underflow is handled.
   Maximal relative error is ~7e-6 for single-precision input */
CVAPI(void)  cvExp( const CvArr* src, CvArr* dst );

/* Calculates natural logarithms: dst(idx) = log(abs(src(idx))).
   Logarithm of 0 gives large negative number(~-700)
   Maximal relative error is ~3e-7 for single-precision output
*/
CVAPI(void)  cvLog( const CvArr* src, CvArr* dst );

/* Fast arctangent calculation */
CVAPI(float) cvFastArctan( float y, float x );

/* Fast cubic root calculation */
CVAPI(float)  cvCbrt( float value );

/* Checks array values for NaNs, Infs or simply for too large numbers
   (if CV_CHECK_RANGE is set). If CV_CHECK_QUIET is set,
   no runtime errors is raised (function returns zero value in case of "bad" values).
   Otherwise cvError is called */ 
#define  CV_CHECK_RANGE    1
#define  CV_CHECK_QUIET    2
CVAPI(int)  cvCheckArr( const CvArr* arr, int flags CV_DEFAULT(0),
                        double min_val CV_DEFAULT(0), double max_val CV_DEFAULT(0));
#define cvCheckArray cvCheckArr


/* Finds real roots of a cubic equation */
CVAPI(int) cvSolveCubic( const CvMat* coeffs, CvMat* roots );

/****************************************************************************************\
*                                Matrix operations                                       *
\****************************************************************************************/

/* Calculates cross product of two 3d vectors */
CVAPI(void)  cvCrossProduct( const CvArr* src1, const CvArr* src2, CvArr* dst );

/* Matrix transform: dst = A*B + C, C is optional */
#define cvMatMulAdd( src1, src2, src3, dst ) cvGEMM( (src1), (src2), 1., (src3), 1., (dst), 0 )
#define cvMatMul( src1, src2, dst )  cvMatMulAdd( (src1), (src2), NULL, (dst))

#define CV_GEMM_A_T 1
#define CV_GEMM_B_T 2
#define CV_GEMM_C_T 4
/* Extended matrix transform:
   dst = alpha*op(A)*op(B) + beta*op(C), where op(X) is X or X^T */
CVAPI(void)  cvGEMM( const CvArr* src1, const CvArr* src2, double alpha,
                     const CvArr* src3, double beta, CvArr* dst,
                     int tABC CV_DEFAULT(0));
#define cvMatMulAddEx cvGEMM

/* Transforms each element of source array and stores
   resultant vectors in destination array */
CVAPI(void)  cvTransform( const CvArr* src, CvArr* dst,
                          const CvMat* transmat,
                          const CvMat* shiftvec CV_DEFAULT(NULL));
#define cvMatMulAddS cvTransform

/* Does perspective transform on every element of input array */
CVAPI(void)  cvPerspectiveTransform( const CvArr* src, CvArr* dst,
                                     const CvMat* mat );

/* Calculates (A-delta)*(A-delta)^T (order=0) or (A-delta)^T*(A-delta) (order=1) */
CVAPI(void) cvMulTransposed( const CvArr* src, CvArr* dst, int order,
                             const CvArr* delta CV_DEFAULT(NULL),
                             double scale CV_DEFAULT(1.) );

/* Tranposes matrix. Square matrices can be transposed in-place */
CVAPI(void)  cvTranspose( const CvArr* src, CvArr* dst );
#define cvT cvTranspose


/* Mirror array data around horizontal (flip=0),
   vertical (flip=1) or both(flip=-1) axises:
   cvFlip(src) flips images vertically and sequences horizontally (inplace) */
CVAPI(void)  cvFlip( const CvArr* src, CvArr* dst CV_DEFAULT(NULL),
                     int flip_mode CV_DEFAULT(0));
#define cvMirror cvFlip


#define CV_SVD_MODIFY_A   1
#define CV_SVD_U_T        2
#define CV_SVD_V_T        4

/* Performs Singular Value Decomposition of a matrix */
CVAPI(void)   cvSVD( CvArr* A, CvArr* W, CvArr* U CV_DEFAULT(NULL),
                     CvArr* V CV_DEFAULT(NULL), int flags CV_DEFAULT(0));

/* Performs Singular Value Back Substitution (solves A*X = B):
   flags must be the same as in cvSVD */
CVAPI(void)   cvSVBkSb( const CvArr* W, const CvArr* U,
                        const CvArr* V, const CvArr* B,
                        CvArr* X, int flags );

#define CV_LU  0
#define CV_SVD 1
#define CV_SVD_SYM 2
/* Inverts matrix */
CVAPI(double)  cvInvert( const CvArr* src, CvArr* dst,
                         int method CV_DEFAULT(CV_LU));
#define cvInv cvInvert

/* Solves linear system (src1)*(dst) = (src2)
   (returns 0 if src1 is a singular and CV_LU method is used) */
CVAPI(int)  cvSolve( const CvArr* src1, const CvArr* src2, CvArr* dst,
                     int method CV_DEFAULT(CV_LU));

/* Calculates determinant of input matrix */
CVAPI(double) cvDet( const CvArr* mat );

/* Calculates trace of the matrix (sum of elements on the main diagonal) */
CVAPI(CvScalar) cvTrace( const CvArr* mat );

/* Finds eigen values and vectors of a symmetric matrix */
CVAPI(void)  cvEigenVV( CvArr* mat, CvArr* evects,
                        CvArr* evals, double eps CV_DEFAULT(0));

/* Makes an identity matrix (mat_ij = i == j) */
CVAPI(void)  cvSetIdentity( CvArr* mat, CvScalar value CV_DEFAULT(cvRealScalar(1)) );

/* Fills matrix with given range of numbers */
CVAPI(CvArr*)  cvRange( CvArr* mat, double start, double end );

/* Calculates covariation matrix for a set of vectors */
/* transpose([v1-avg, v2-avg,...]) * [v1-avg,v2-avg,...] */
#define CV_COVAR_SCRAMBLED 0

/* [v1-avg, v2-avg,...] * transpose([v1-avg,v2-avg,...]) */
#define CV_COVAR_NORMAL    1

/* do not calc average (i.e. mean vector) - use the input vector instead
   (useful for calculating covariance matrix by parts) */
#define CV_COVAR_USE_AVG   2

/* scale the covariance matrix coefficients by number of the vectors */
#define CV_COVAR_SCALE     4

/* all the input vectors are stored in a single matrix, as its rows */
#define CV_COVAR_ROWS      8

/* all the input vectors are stored in a single matrix, as its columns */
#define CV_COVAR_COLS     16

CVAPI(void)  cvCalcCovarMatrix( const CvArr** vects, int count,
                                CvArr* cov_mat, CvArr* avg, int flags );

#define CV_PCA_DATA_AS_ROW 0 
#define CV_PCA_DATA_AS_COL 1
#define CV_PCA_USE_AVG 2
CVAPI(void)  cvCalcPCA( const CvArr* data, CvArr* mean,
                        CvArr* eigenvals, CvArr* eigenvects, int flags );

CVAPI(void)  cvProjectPCA( const CvArr* data, const CvArr* mean,
                           const CvArr* eigenvects, CvArr* result );

CVAPI(void)  cvBackProjectPCA( const CvArr* proj, const CvArr* mean,
                               const CvArr* eigenvects, CvArr* result );

/* Calculates Mahalanobis(weighted) distance */
CVAPI(double)  cvMahalanobis( const CvArr* vec1, const CvArr* vec2, CvArr* mat );
#define cvMahalonobis  cvMahalanobis

/****************************************************************************************\
*                                    Array Statistics                                    *
\****************************************************************************************/

/* Finds sum of array elements */
CVAPI(CvScalar)  cvSum( const CvArr* arr );

/* Calculates number of non-zero pixels */
CVAPI(int)  cvCountNonZero( const CvArr* arr );

/* Calculates mean value of array elements */
CVAPI(CvScalar)  cvAvg( const CvArr* arr, const CvArr* mask CV_DEFAULT(NULL) );

/* Calculates mean and standard deviation of pixel values */
CVAPI(void)  cvAvgSdv( const CvArr* arr, CvScalar* mean, CvScalar* std_dev,
                       const CvArr* mask CV_DEFAULT(NULL) );

/* Finds global minimum, maximum and their positions */
CVAPI(void)  cvMinMaxLoc( const CvArr* arr, double* min_val, double* max_val,
                          CvPoint* min_loc CV_DEFAULT(NULL),
                          CvPoint* max_loc CV_DEFAULT(NULL),
                          const CvArr* mask CV_DEFAULT(NULL) );

/* types of array norm */
#define CV_C            1
#define CV_L1           2
#define CV_L2           4
#define CV_NORM_MASK    7
#define CV_RELATIVE     8
#define CV_DIFF         16
#define CV_MINMAX       32

#define CV_DIFF_C       (CV_DIFF | CV_C)
#define CV_DIFF_L1      (CV_DIFF | CV_L1)
#define CV_DIFF_L2      (CV_DIFF | CV_L2)
#define CV_RELATIVE_C   (CV_RELATIVE | CV_C)
#define CV_RELATIVE_L1  (CV_RELATIVE | CV_L1)
#define CV_RELATIVE_L2  (CV_RELATIVE | CV_L2)

/* Finds norm, difference norm or relative difference norm for an array (or two arrays) */
CVAPI(double)  cvNorm( const CvArr* arr1, const CvArr* arr2 CV_DEFAULT(NULL),
                       int norm_type CV_DEFAULT(CV_L2),
                       const CvArr* mask CV_DEFAULT(NULL) );

CVAPI(void)  cvNormalize( const CvArr* src, CvArr* dst,
                          double a CV_DEFAULT(1.), double b CV_DEFAULT(0.),
                          int norm_type CV_DEFAULT(CV_L2),
                          const CvArr* mask CV_DEFAULT(NULL) );


#define CV_REDUCE_SUM 0
#define CV_REDUCE_AVG 1
#define CV_REDUCE_MAX 2
#define CV_REDUCE_MIN 3

CVAPI(void)  cvReduce( const CvArr* src, CvArr* dst, int dim CV_DEFAULT(-1),
                       int op CV_DEFAULT(CV_REDUCE_SUM) );

/****************************************************************************************\
*                      Discrete Linear Transforms and Related Functions                  *
\****************************************************************************************/

#define CV_DXT_FORWARD  0
#define CV_DXT_INVERSE  1
#define CV_DXT_SCALE    2 /* divide result by size of array */
#define CV_DXT_INV_SCALE (CV_DXT_INVERSE + CV_DXT_SCALE)
#define CV_DXT_INVERSE_SCALE CV_DXT_INV_SCALE
#define CV_DXT_ROWS     4 /* transform each row individually */
#define CV_DXT_MUL_CONJ 8 /* conjugate the second argument of cvMulSpectrums */

/* Discrete Fourier Transform:
    complex->complex,
    real->ccs (forward),
    ccs->real (inverse) */
CVAPI(void)  cvDFT( const CvArr* src, CvArr* dst, int flags,
                    int nonzero_rows CV_DEFAULT(0) );
#define cvFFT cvDFT

/* Multiply results of DFTs: DFT(X)*DFT(Y) or DFT(X)*conj(DFT(Y)) */
CVAPI(void)  cvMulSpectrums( const CvArr* src1, const CvArr* src2,
                             CvArr* dst, int flags );

/* Finds optimal DFT vector size >= size0 */
CVAPI(int)  cvGetOptimalDFTSize( int size0 );

/* Discrete Cosine Transform */
CVAPI(void)  cvDCT( const CvArr* src, CvArr* dst, int flags );

/****************************************************************************************\
*                              Dynamic data structures                                   *
\****************************************************************************************/

/* Calculates length of sequence slice (with support of negative indices). */
CVAPI(int) cvSliceLength( CvSlice slice, const CvSeq* seq );


/* Creates new memory storage.
   block_size == 0 means that default,
   somewhat optimal size, is used (currently, it is 64K) */
CVAPI(CvMemStorage*)  cvCreateMemStorage( int block_size CV_DEFAULT(0));


/* Creates a memory storage that will borrow memory blocks from parent storage */
CVAPI(CvMemStorage*)  cvCreateChildMemStorage( CvMemStorage* parent );


/* Releases memory storage. All the children of a parent must be released before
   the parent. A child storage returns all the blocks to parent when it is released */
CVAPI(void)  cvReleaseMemStorage( CvMemStorage** storage );


/* Clears memory storage. This is the only way(!!!) (besides cvRestoreMemStoragePos)
   to reuse memory allocated for the storage - cvClearSeq,cvClearSet ...
   do not free any memory.
   A child storage returns all the blocks to the parent when it is cleared */
CVAPI(void)  cvClearMemStorage( CvMemStorage* storage );

/* Remember a storage "free memory" position */
CVAPI(void)  cvSaveMemStoragePos( const CvMemStorage* storage, CvMemStoragePos* pos );

/* Restore a storage "free memory" position */
CVAPI(void)  cvRestoreMemStoragePos( CvMemStorage* storage, CvMemStoragePos* pos );

/* Allocates continuous buffer of the specified size in the storage */
CVAPI(void*) cvMemStorageAlloc( CvMemStorage* storage, size_t size );

/* Allocates string in memory storage */
CVAPI(CvString) cvMemStorageAllocString( CvMemStorage* storage, const char* ptr,
                                        int len CV_DEFAULT(-1) );

/* Creates new empty sequence that will reside in the specified storage */
CVAPI(CvSeq*)  cvCreateSeq( int seq_flags, int header_size,
                            int elem_size, CvMemStorage* storage );