generic-library/opencv
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

converted moments function to C++

Browse Source
This commit is contained in:
Vadim Pisarevsky 2013-02-12 18:07:22 +04:00
parent 59a5ba8938
commit 9124a76ae7
2 changed files with 300 additions and 335 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

633
modules/imgproc/src/moments.cpp
View File

@ -40,21 +40,22 @@
//M*/ //M*/
#include "precomp.hpp" #include "precomp.hpp"
namespace cv
{
// The function calculates center of gravity and the central second order moments // The function calculates center of gravity and the central second order moments
static void icvCompleteMomentState( CvMoments* moments ) static void completeMomentState( Moments* moments )
{ {
double cx = 0, cy = 0; double cx = 0, cy = 0;
double mu20, mu11, mu02; double mu20, mu11, mu02;
assert( moments != 0 ); assert( moments != 0 );
moments->inv_sqrt_m00 = 0;
if( fabs(moments->m00) > DBL_EPSILON ) if( fabs(moments->m00) > DBL_EPSILON )
{ {
double inv_m00 = 1. / moments->m00; double inv_m00 = 1. / moments->m00;
cx = moments->m10 * inv_m00; cx = moments->m10 * inv_m00;
cy = moments->m01 * inv_m00; cy = moments->m01 * inv_m00;
moments->inv_sqrt_m00 = std::sqrt( fabs(inv_m00) );
} }
// mu20 = m20 - m10*cx // mu20 = m20 - m10*cx
@ -80,115 +81,111 @@ static void icvCompleteMomentState( CvMoments* moments )
} }
static void icvContourMoments( CvSeq* contour, CvMoments* moments ) static Moments contourMoments( const Mat& contour )
{ {
int is_float = CV_SEQ_ELTYPE(contour) == CV_32FC2; Moments m;
int lpt = contour.checkVector(2);
int is_float = contour.depth() == CV_32F;
const Point* ptsi = (const Point*)contour.data;
const Point2f* ptsf = (const Point2f*)contour.data;
if( contour->total ) CV_Assert( contour.depth() == CV_32S || contour.depth() == CV_32F );
if( lpt == 0 )
return m;
double a00 = 0, a10 = 0, a01 = 0, a20 = 0, a11 = 0, a02 = 0, a30 = 0, a21 = 0, a12 = 0, a03 = 0;
double xi, yi, xi2, yi2, xi_1, yi_1, xi_12, yi_12, dxy, xii_1, yii_1;
if( !is_float )
{ {
CvSeqReader reader; xi_1 = ptsi[lpt-1].x;
double a00, a10, a01, a20, a11, a02, a30, a21, a12, a03; yi_1 = ptsi[lpt-1].y;
double xi, yi, xi2, yi2, xi_1, yi_1, xi_12, yi_12, dxy, xii_1, yii_1; }
int lpt = contour->total; else
{
xi_1 = ptsf[lpt-1].x;
yi_1 = ptsf[lpt-1].y;
}
a00 = a10 = a01 = a20 = a11 = a02 = a30 = a21 = a12 = a03 = 0; xi_12 = xi_1 * xi_1;
yi_12 = yi_1 * yi_1;
cvStartReadSeq( contour, &reader, 0 );
for( int i = 0; i < lpt; i++ )
{
if( !is_float ) if( !is_float )
{ {
xi_1 = ((CvPoint*)(reader.ptr))->x; xi = ptsi[i].x;
yi_1 = ((CvPoint*)(reader.ptr))->y; yi = ptsi[i].y;
} }
else else
{ {
xi_1 = ((CvPoint2D32f*)(reader.ptr))->x; xi = ptsf[i].x;
yi_1 = ((CvPoint2D32f*)(reader.ptr))->y; yi = ptsf[i].y;
}
CV_NEXT_SEQ_ELEM( contour->elem_size, reader );
xi_12 = xi_1 * xi_1;
yi_12 = yi_1 * yi_1;
while( lpt-- > 0 )
{
if( !is_float )
{
xi = ((CvPoint*)(reader.ptr))->x;
yi = ((CvPoint*)(reader.ptr))->y;
}
else
{
xi = ((CvPoint2D32f*)(reader.ptr))->x;
yi = ((CvPoint2D32f*)(reader.ptr))->y;
}
CV_NEXT_SEQ_ELEM( contour->elem_size, reader );
xi2 = xi * xi;
yi2 = yi * yi;
dxy = xi_1 * yi - xi * yi_1;
xii_1 = xi_1 + xi;
yii_1 = yi_1 + yi;
a00 += dxy;
a10 += dxy * xii_1;
a01 += dxy * yii_1;
a20 += dxy * (xi_1 * xii_1 + xi2);
a11 += dxy * (xi_1 * (yii_1 + yi_1) + xi * (yii_1 + yi));
a02 += dxy * (yi_1 * yii_1 + yi2);
a30 += dxy * xii_1 * (xi_12 + xi2);
a03 += dxy * yii_1 * (yi_12 + yi2);
a21 +=
dxy * (xi_12 * (3 * yi_1 + yi) + 2 * xi * xi_1 * yii_1 +
xi2 * (yi_1 + 3 * yi));
a12 +=
dxy * (yi_12 * (3 * xi_1 + xi) + 2 * yi * yi_1 * xii_1 +
yi2 * (xi_1 + 3 * xi));
xi_1 = xi;
yi_1 = yi;
xi_12 = xi2;
yi_12 = yi2;
} }
double db1_2, db1_6, db1_12, db1_24, db1_20, db1_60; xi2 = xi * xi;
yi2 = yi * yi;
dxy = xi_1 * yi - xi * yi_1;
xii_1 = xi_1 + xi;
yii_1 = yi_1 + yi;
if( fabs(a00) > FLT_EPSILON ) a00 += dxy;
{ a10 += dxy * xii_1;
if( a00 > 0 ) a01 += dxy * yii_1;
{ a20 += dxy * (xi_1 * xii_1 + xi2);
db1_2 = 0.5; a11 += dxy * (xi_1 * (yii_1 + yi_1) + xi * (yii_1 + yi));
db1_6 = 0.16666666666666666666666666666667; a02 += dxy * (yi_1 * yii_1 + yi2);
db1_12 = 0.083333333333333333333333333333333; a30 += dxy * xii_1 * (xi_12 + xi2);
db1_24 = 0.041666666666666666666666666666667; a03 += dxy * yii_1 * (yi_12 + yi2);
db1_20 = 0.05; a21 += dxy * (xi_12 * (3 * yi_1 + yi) + 2 * xi * xi_1 * yii_1 +
db1_60 = 0.016666666666666666666666666666667; xi2 * (yi_1 + 3 * yi));
} a12 += dxy * (yi_12 * (3 * xi_1 + xi) + 2 * yi * yi_1 * xii_1 +
else yi2 * (xi_1 + 3 * xi));
{ xi_1 = xi;
db1_2 = -0.5; yi_1 = yi;
db1_6 = -0.16666666666666666666666666666667; xi_12 = xi2;
db1_12 = -0.083333333333333333333333333333333; yi_12 = yi2;
db1_24 = -0.041666666666666666666666666666667;
db1_20 = -0.05;
db1_60 = -0.016666666666666666666666666666667;
}
// spatial moments
moments->m00 = a00 * db1_2;
moments->m10 = a10 * db1_6;
moments->m01 = a01 * db1_6;
moments->m20 = a20 * db1_12;
moments->m11 = a11 * db1_24;
moments->m02 = a02 * db1_12;
moments->m30 = a30 * db1_20;
moments->m21 = a21 * db1_60;
moments->m12 = a12 * db1_60;
moments->m03 = a03 * db1_20;
icvCompleteMomentState( moments );
}
} }
if( fabs(a00) > FLT_EPSILON )
{
double db1_2, db1_6, db1_12, db1_24, db1_20, db1_60;
if( a00 > 0 )
{
db1_2 = 0.5;
db1_6 = 0.16666666666666666666666666666667;
db1_12 = 0.083333333333333333333333333333333;
db1_24 = 0.041666666666666666666666666666667;
db1_20 = 0.05;
db1_60 = 0.016666666666666666666666666666667;
}
else
{
db1_2 = -0.5;
db1_6 = -0.16666666666666666666666666666667;
db1_12 = -0.083333333333333333333333333333333;
db1_24 = -0.041666666666666666666666666666667;
db1_20 = -0.05;
db1_60 = -0.016666666666666666666666666666667;
}
// spatial moments
m.m00 = a00 * db1_2;
m.m10 = a10 * db1_6;
m.m01 = a01 * db1_6;
m.m20 = a20 * db1_12;
m.m11 = a11 * db1_24;
m.m02 = a02 * db1_12;
m.m30 = a30 * db1_20;
m.m21 = a21 * db1_60;
m.m12 = a12 * db1_60;
m.m03 = a03 * db1_20;
completeMomentState( &m );
}
return m;
} }
@ -197,9 +194,9 @@ static void icvContourMoments( CvSeq* contour, CvMoments* moments )
\****************************************************************************************/ \****************************************************************************************/
template<typename T, typename WT, typename MT> template<typename T, typename WT, typename MT>
static void momentsInTile( const cv::Mat& img, double* moments ) static void momentsInTile( const Mat& img, double* moments )
{ {
cv::Size size = img.size(); Size size = img.size();
int x, y; int x, y;
MT mom[10] = {0,0,0,0,0,0,0,0,0,0}; MT mom[10] = {0,0,0,0,0,0,0,0,0,0};
@ -247,10 +244,10 @@ template<> void momentsInTile<uchar, int, int>( const cv::Mat& img, double* mome
typedef uchar T; typedef uchar T;
typedef int WT; typedef int WT;
typedef int MT; typedef int MT;
cv::Size size = img.size(); Size size = img.size();
int y; int y;
MT mom[10] = {0,0,0,0,0,0,0,0,0,0}; MT mom[10] = {0,0,0,0,0,0,0,0,0,0};
bool useSIMD = cv::checkHardwareSupport(CV_CPU_SSE2); bool useSIMD = checkHardwareSupport(CV_CPU_SSE2);
for( y = 0; y < size.height; y++ ) for( y = 0; y < size.height; y++ )
{ {
@ -318,233 +315,7 @@ template<> void momentsInTile<uchar, int, int>( const cv::Mat& img, double* mome
#endif #endif
typedef void (*CvMomentsInTileFunc)(const cv::Mat& img, double* moments); typedef void (*MomentsInTileFunc)(const Mat& img, double* moments);
CV_IMPL void cvMoments( const void* array, CvMoments* moments, int binary )
{
const int TILE_SIZE = 32;
int type, depth, cn, coi = 0;
CvMat stub, *mat = (CvMat*)array;
CvMomentsInTileFunc func = 0;
CvContour contourHeader;
CvSeq* contour = 0;
CvSeqBlock block;
double buf[TILE_SIZE*TILE_SIZE];
uchar nzbuf[TILE_SIZE*TILE_SIZE];
if( CV_IS_SEQ( array ))
{
contour = (CvSeq*)array;
if( !CV_IS_SEQ_POINT_SET( contour ))
CV_Error( CV_StsBadArg, "The passed sequence is not a valid contour" );
}
if( !moments )
CV_Error( CV_StsNullPtr, "" );
memset( moments, 0, sizeof(*moments));
if( !contour )
{
mat = cvGetMat( mat, &stub, &coi );
type = CV_MAT_TYPE( mat->type );
if( type == CV_32SC2 || type == CV_32FC2 )
{
contour = cvPointSeqFromMat(
CV_SEQ_KIND_CURVE | CV_SEQ_FLAG_CLOSED,
mat, &contourHeader, &block );
}
}
if( contour )
{
icvContourMoments( contour, moments );
return;
}
type = CV_MAT_TYPE( mat->type );
depth = CV_MAT_DEPTH( type );
cn = CV_MAT_CN( type );
cv::Size size = cvGetMatSize( mat );
if( cn > 1 && coi == 0 )
CV_Error( CV_StsBadArg, "Invalid image type" );
if( size.width <= 0 || size.height <= 0 )
return;
if( binary || depth == CV_8U )
func = momentsInTile<uchar, int, int>;
else if( depth == CV_16U )
func = momentsInTile<ushort, int, int64>;
else if( depth == CV_16S )
func = momentsInTile<short, int, int64>;
else if( depth == CV_32F )
func = momentsInTile<float, double, double>;
else if( depth == CV_64F )
func = momentsInTile<double, double, double>;
else
CV_Error( CV_StsUnsupportedFormat, "" );
cv::Mat src0(mat);
for( int y = 0; y < size.height; y += TILE_SIZE )
{
cv::Size tileSize;
tileSize.height = std::min(TILE_SIZE, size.height - y);
for( int x = 0; x < size.width; x += TILE_SIZE )
{
tileSize.width = std::min(TILE_SIZE, size.width - x);
cv::Mat src(src0, cv::Rect(x, y, tileSize.width, tileSize.height));
if( coi > 0 )
{
cv::Mat tmp(tileSize, depth, buf);
int pairs[] = {coi-1, 0};
cv::mixChannels(&src, 1, &tmp, 1, pairs, 1);
src = tmp;
}
if( binary )
{
cv::Mat tmp(tileSize, CV_8U, nzbuf);
cv::compare( src, 0, tmp, CV_CMP_NE );
src = tmp;
}
double mom[10];
func( src, mom );
if(binary)
{
double s = 1./255;
for( int k = 0; k < 10; k++ )
mom[k] *= s;
}
double xm = x * mom[0], ym = y * mom[0];
// accumulate moments computed in each tile
// + m00 ( = m00' )
moments->m00 += mom[0];
// + m10 ( = m10' + x*m00' )
moments->m10 += mom[1] + xm;
// + m01 ( = m01' + y*m00' )
moments->m01 += mom[2] + ym;
// + m20 ( = m20' + 2*x*m10' + x*x*m00' )
moments->m20 += mom[3] + x * (mom[1] * 2 + xm);
// + m11 ( = m11' + x*m01' + y*m10' + x*y*m00' )
moments->m11 += mom[4] + x * (mom[2] + ym) + y * mom[1];
// + m02 ( = m02' + 2*y*m01' + y*y*m00' )
moments->m02 += mom[5] + y * (mom[2] * 2 + ym);
// + m30 ( = m30' + 3*x*m20' + 3*x*x*m10' + x*x*x*m00' )
moments->m30 += mom[6] + x * (3. * mom[3] + x * (3. * mom[1] + xm));
// + m21 ( = m21' + x*(2*m11' + 2*y*m10' + x*m01' + x*y*m00') + y*m20')
moments->m21 += mom[7] + x * (2 * (mom[4] + y * mom[1]) + x * (mom[2] + ym)) + y * mom[3];
// + m12 ( = m12' + y*(2*m11' + 2*x*m01' + y*m10' + x*y*m00') + x*m02')
moments->m12 += mom[8] + y * (2 * (mom[4] + x * mom[2]) + y * (mom[1] + xm)) + x * mom[5];
// + m03 ( = m03' + 3*y*m02' + 3*y*y*m01' + y*y*y*m00' )
moments->m03 += mom[9] + y * (3. * mom[5] + y * (3. * mom[2] + ym));
}
}
icvCompleteMomentState( moments );
}
CV_IMPL void cvGetHuMoments( CvMoments * mState, CvHuMoments * HuState )
{
if( !mState || !HuState )
CV_Error( CV_StsNullPtr, "" );
double m00s = mState->inv_sqrt_m00, m00 = m00s * m00s, s2 = m00 * m00, s3 = s2 * m00s;
double nu20 = mState->mu20 * s2,
nu11 = mState->mu11 * s2,
nu02 = mState->mu02 * s2,
nu30 = mState->mu30 * s3,
nu21 = mState->mu21 * s3, nu12 = mState->mu12 * s3, nu03 = mState->mu03 * s3;
double t0 = nu30 + nu12;
double t1 = nu21 + nu03;
double q0 = t0 * t0, q1 = t1 * t1;
double n4 = 4 * nu11;
double s = nu20 + nu02;
double d = nu20 - nu02;
HuState->hu1 = s;
HuState->hu2 = d * d + n4 * nu11;
HuState->hu4 = q0 + q1;
HuState->hu6 = d * (q0 - q1) + n4 * t0 * t1;
t0 *= q0 - 3 * q1;
t1 *= 3 * q0 - q1;
q0 = nu30 - 3 * nu12;
q1 = 3 * nu21 - nu03;
HuState->hu3 = q0 * q0 + q1 * q1;
HuState->hu5 = q0 * t0 + q1 * t1;
HuState->hu7 = q1 * t0 - q0 * t1;
}
CV_IMPL double cvGetSpatialMoment( CvMoments * moments, int x_order, int y_order )
{
int order = x_order + y_order;
if( !moments )
CV_Error( CV_StsNullPtr, "" );
if( (x_order | y_order) < 0 || order > 3 )
CV_Error( CV_StsOutOfRange, "" );
return (&(moments->m00))[order + (order >> 1) + (order > 2) * 2 + y_order];
}
CV_IMPL double cvGetCentralMoment( CvMoments * moments, int x_order, int y_order )
{
int order = x_order + y_order;
if( !moments )
CV_Error( CV_StsNullPtr, "" );
if( (x_order | y_order) < 0 || order > 3 )
CV_Error( CV_StsOutOfRange, "" );
return order >= 2 ? (&(moments->m00))[4 + order * 3 + y_order] :
order == 0 ? moments->m00 : 0;
}
CV_IMPL double cvGetNormalizedCentralMoment( CvMoments * moments, int x_order, int y_order )
{
int order = x_order + y_order;
double mu = cvGetCentralMoment( moments, x_order, y_order );
double m00s = moments->inv_sqrt_m00;
while( --order >= 0 )
mu *= m00s;
return mu * m00s * m00s;
}
namespace cv
{
Moments::Moments() Moments::Moments()
{ {
@ -604,15 +375,113 @@ Moments::operator CvMoments() const
} }
cv::Moments cv::moments( InputArray _array, bool binaryImage )
cv::Moments cv::moments( InputArray _src, bool binary )
{ {
CvMoments om; const int TILE_SIZE = 32;
Mat arr = _array.getMat(); Mat mat = _src.getMat();
CvMat c_array = arr; MomentsInTileFunc func = 0;
cvMoments(&c_array, &om, binaryImage); double buf[TILE_SIZE*TILE_SIZE];
return om; uchar nzbuf[TILE_SIZE*TILE_SIZE];
Moments m;
int type = mat.type();
int depth = CV_MAT_DEPTH( type );
int cn = CV_MAT_CN( type );
if( mat.checkVector(2) >= 0 && (depth == CV_32F || depth == CV_32S))
return contourMoments(mat);
Size size = mat.size();
if( cn > 1 )
CV_Error( CV_StsBadArg, "Invalid image type" );
if( size.width <= 0 || size.height <= 0 )
return m;
if( binary || depth == CV_8U )
func = momentsInTile<uchar, int, int>;
else if( depth == CV_16U )
func = momentsInTile<ushort, int, int64>;
else if( depth == CV_16S )
func = momentsInTile<short, int, int64>;
else if( depth == CV_32F )
func = momentsInTile<float, double, double>;
else if( depth == CV_64F )
func = momentsInTile<double, double, double>;
else
CV_Error( CV_StsUnsupportedFormat, "" );
Mat src0(mat);
for( int y = 0; y < size.height; y += TILE_SIZE )
{
Size tileSize;
tileSize.height = std::min(TILE_SIZE, size.height - y);
for( int x = 0; x < size.width; x += TILE_SIZE )
{
tileSize.width = std::min(TILE_SIZE, size.width - x);
Mat src(src0, cv::Rect(x, y, tileSize.width, tileSize.height));
if( binary )
{
cv::Mat tmp(tileSize, CV_8U, nzbuf);
cv::compare( src, 0, tmp, CV_CMP_NE );
src = tmp;
}
double mom[10];
func( src, mom );
if(binary)
{
double s = 1./255;
for( int k = 0; k < 10; k++ )
mom[k] *= s;
}
double xm = x * mom[0], ym = y * mom[0];
// accumulate moments computed in each tile
// + m00 ( = m00' )
m.m00 += mom[0];
// + m10 ( = m10' + x*m00' )
m.m10 += mom[1] + xm;
// + m01 ( = m01' + y*m00' )
m.m01 += mom[2] + ym;
// + m20 ( = m20' + 2*x*m10' + x*x*m00' )
m.m20 += mom[3] + x * (mom[1] * 2 + xm);
// + m11 ( = m11' + x*m01' + y*m10' + x*y*m00' )
m.m11 += mom[4] + x * (mom[2] + ym) + y * mom[1];
// + m02 ( = m02' + 2*y*m01' + y*y*m00' )
m.m02 += mom[5] + y * (mom[2] * 2 + ym);
// + m30 ( = m30' + 3*x*m20' + 3*x*x*m10' + x*x*x*m00' )
m.m30 += mom[6] + x * (3. * mom[3] + x * (3. * mom[1] + xm));
// + m21 ( = m21' + x*(2*m11' + 2*y*m10' + x*m01' + x*y*m00') + y*m20')
m.m21 += mom[7] + x * (2 * (mom[4] + y * mom[1]) + x * (mom[2] + ym)) + y * mom[3];
// + m12 ( = m12' + y*(2*m11' + 2*x*m01' + y*m10' + x*y*m00') + x*m02')
m.m12 += mom[8] + y * (2 * (mom[4] + x * mom[2]) + y * (mom[1] + xm)) + x * mom[5];
// + m03 ( = m03' + 3*y*m02' + 3*y*y*m01' + y*y*y*m00' )
m.m03 += mom[9] + y * (3. * mom[5] + y * (3. * mom[2] + ym));
}
}
completeMomentState( &m );
return m;
} }
void cv::HuMoments( const Moments& m, double hu[7] ) void cv::HuMoments( const Moments& m, double hu[7] )
{ {
double t0 = m.nu30 + m.nu12; double t0 = m.nu30 + m.nu12;
@ -648,4 +517,98 @@ void cv::HuMoments( const Moments& m, OutputArray _hu )
HuMoments(m, (double*)hu.data); HuMoments(m, (double*)hu.data);
} }
CV_IMPL void cvMoments( const CvArr* arr, CvMoments* moments, int binary )
{
const IplImage* img = (const IplImage*)arr;
cv::Mat src;
if( CV_IS_IMAGE(arr) && img->roi && img->roi->coi > 0 )
cv::extractImageCOI(arr, src, img->roi->coi-1);
else
src = cv::cvarrToMat(arr);
cv::Moments m = cv::moments(src, binary != 0);
CV_Assert( moments != 0 );
*moments = m;
}
CV_IMPL double cvGetSpatialMoment( CvMoments * moments, int x_order, int y_order )
{
int order = x_order + y_order;
if( !moments )
CV_Error( CV_StsNullPtr, "" );
if( (x_order | y_order) < 0 || order > 3 )
CV_Error( CV_StsOutOfRange, "" );
return (&(moments->m00))[order + (order >> 1) + (order > 2) * 2 + y_order];
}
CV_IMPL double cvGetCentralMoment( CvMoments * moments, int x_order, int y_order )
{
int order = x_order + y_order;
if( !moments )
CV_Error( CV_StsNullPtr, "" );
if( (x_order | y_order) < 0 || order > 3 )
CV_Error( CV_StsOutOfRange, "" );
return order >= 2 ? (&(moments->m00))[4 + order * 3 + y_order] :
order == 0 ? moments->m00 : 0;
}
CV_IMPL double cvGetNormalizedCentralMoment( CvMoments * moments, int x_order, int y_order )
{
int order = x_order + y_order;
double mu = cvGetCentralMoment( moments, x_order, y_order );
double m00s = moments->inv_sqrt_m00;
while( --order >= 0 )
mu *= m00s;
return mu * m00s * m00s;
}
CV_IMPL void cvGetHuMoments( CvMoments * mState, CvHuMoments * HuState )
{
if( !mState || !HuState )
CV_Error( CV_StsNullPtr, "" );
double m00s = mState->inv_sqrt_m00, m00 = m00s * m00s, s2 = m00 * m00, s3 = s2 * m00s;
double nu20 = mState->mu20 * s2,
nu11 = mState->mu11 * s2,
nu02 = mState->mu02 * s2,
nu30 = mState->mu30 * s3,
nu21 = mState->mu21 * s3, nu12 = mState->mu12 * s3, nu03 = mState->mu03 * s3;
double t0 = nu30 + nu12;
double t1 = nu21 + nu03;
double q0 = t0 * t0, q1 = t1 * t1;
double n4 = 4 * nu11;
double s = nu20 + nu02;
double d = nu20 - nu02;
HuState->hu1 = s;
HuState->hu2 = d * d + n4 * nu11;
HuState->hu4 = q0 + q1;
HuState->hu6 = d * (q0 - q1) + n4 * t0 * t1;
t0 *= q0 - 3 * q1;
t1 *= 3 * q0 - q1;
q0 = nu30 - 3 * nu12;
q1 = 3 * nu21 - nu03;
HuState->hu3 = q0 * q0 + q1 * q1;
HuState->hu5 = q0 * t0 + q1 * t1;
HuState->hu7 = q1 * t0 - q0 * t1;
}
/* End of file. */ /* End of file. */

2
modules/imgproc/test/test_moments.cpp
View File

@ -111,6 +111,8 @@ void CV_MomentsTest::get_test_array_types_and_sizes( int test_case_idx,
types[INPUT][0] = CV_MAKETYPE(depth, cn); types[INPUT][0] = CV_MAKETYPE(depth, cn);
types[OUTPUT][0] = types[REF_OUTPUT][0] = CV_64FC1; types[OUTPUT][0] = types[REF_OUTPUT][0] = CV_64FC1;
sizes[OUTPUT][0] = sizes[REF_OUTPUT][0] = cvSize(MOMENT_COUNT,1); sizes[OUTPUT][0] = sizes[REF_OUTPUT][0] = cvSize(MOMENT_COUNT,1);
if(CV_MAT_DEPTH(types[INPUT][0])>=CV_32S)
sizes[INPUT][0].width = MAX(sizes[INPUT][0].width, 3);
is_binary = cvtest::randInt(rng) % 2 != 0; is_binary = cvtest::randInt(rng) % 2 != 0;
coi = 0; coi = 0;