这是在opencv中计算积分图像的代码..
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#include "precomp.hpp"
namespace cv
{
template<typename T, typename ST, typename QT>
void integral_( const T* src, size_t srcstep, ST* sum, size_t sumstep,
QT* sqsum, size_t sqsumstep, ST* tilted, size_t tiltedstep,
Size size, int cn )
{
int x, y, k;
srcstep /= sizeof(T);
sumstep /= sizeof(ST);
tiltedstep /= sizeof(ST);
sqsumstep /= sizeof(QT);
size.width *= cn;
memset( sum, 0, (size.width+cn)*sizeof(sum[0]));
sum += sumstep + cn;
if( sqsum )
{
memset( sqsum, 0, (size.width+cn)*sizeof(sqsum[0]));
sqsum += sqsumstep + cn;
}
if( tilted )
{
memset( tilted, 0, (size.width+cn)*sizeof(tilted[0]));
tilted += tiltedstep + cn;
}
if( sqsum == 0 && tilted == 0 )
{
for( y = 0; y < size.height; y++, src += srcstep - cn, sum += sumstep - cn )
{
for( k = 0; k < cn; k++, src++, sum++ )
{
ST s = sum[-cn] = 0;
for( x = 0; x < size.width; x += cn )
{
s += src[x];
sum[x] = sum[x - sumstep] + s;
}
}
}
}
else if( tilted == 0 )
{
for( y = 0; y < size.height; y++, src += srcstep - cn,
sum += sumstep - cn, sqsum += sqsumstep - cn )
{
for( k = 0; k < cn; k++, src++, sum++, sqsum++ )
{
ST s = sum[-cn] = 0;
QT sq = sqsum[-cn] = 0;
for( x = 0; x < size.width; x += cn )
{
T it = src[x];
s += it;
sq += (QT)it*it;
ST t = sum[x - sumstep] + s;
QT tq = sqsum[x - sqsumstep] + sq;
sum[x] = t;
sqsum[x] = tq;
}
}
}
}
else
{
AutoBuffer<ST> _buf(size.width+cn);
ST* buf = _buf;
ST s;
QT sq;
for( k = 0; k < cn; k++, src++, sum++, tilted++, buf++ )
{
sum[-cn] = tilted[-cn] = 0;
for( x = 0, s = 0, sq = 0; x < size.width; x += cn )
{
T it = src[x];
buf[x] = tilted[x] = it;
s += it;
sq += (QT)it*it;
sum[x] = s;
if( sqsum )
sqsum[x] = sq;
}
if( size.width == cn )
buf[cn] = 0;
if( sqsum )
{
sqsum[-cn] = 0;
sqsum++;
}
}
for( y = 1; y < size.height; y++ )
{
src += srcstep - cn;
sum += sumstep - cn;
tilted += tiltedstep - cn;
buf += -cn;
if( sqsum )
sqsum += sqsumstep - cn;
for( k = 0; k < cn; k++, src++, sum++, tilted++, buf++ )
{
T it = src[0];
ST t0 = s = it;
QT tq0 = sq = (QT)it*it;
sum[-cn] = 0;
if( sqsum )
sqsum[-cn] = 0;
tilted[-cn] = tilted[-tiltedstep];
sum[0] = sum[-sumstep] + t0;
if( sqsum )
sqsum[0] = sqsum[-sqsumstep] + tq0;
tilted[0] = tilted[-tiltedstep] + t0 + buf[cn];
for( x = cn; x < size.width - cn; x += cn )
{
ST t1 = buf[x];
buf[x - cn] = t1 + t0;
t0 = it = src[x];
tq0 = (QT)it*it;
s += t0;
sq += tq0;
sum[x] = sum[x - sumstep] + s;
if( sqsum )
sqsum[x] = sqsum[x - sqsumstep] + sq;
t1 += buf[x + cn] + t0 + tilted[x - tiltedstep - cn];
tilted[x] = t1;
}
if( size.width > cn )
{
ST t1 = buf[x];
buf[x - cn] = t1 + t0;
t0 = it = src[x];
tq0 = (QT)it*it;
s += t0;
sq += tq0;
sum[x] = sum[x - sumstep] + s;
if( sqsum )
sqsum[x] = sqsum[x - sqsumstep] + sq;
tilted[x] = t0 + t1 + tilted[x - tiltedstep - cn];
buf[x] = t0;
}
if( sqsum )
sqsum++;
}
}
}
}
#define DEF_INTEGRAL_FUNC(suffix, T, ST, QT) \
void integral_##suffix( T* src, size_t srcstep, ST* sum, size_t sumstep, QT* sqsum, size_t sqsumstep, \
ST* tilted, size_t tiltedstep, Size size, int cn ) \
{ integral_(src, srcstep, sum, sumstep, sqsum, sqsumstep, tilted, tiltedstep, size, cn); }
DEF_INTEGRAL_FUNC(8u32s, uchar, int, double)
DEF_INTEGRAL_FUNC(8u32f, uchar, float, double)
DEF_INTEGRAL_FUNC(8u64f, uchar, double, double)
DEF_INTEGRAL_FUNC(32f, float, float, float)
DEF_INTEGRAL_FUNC(32f64f, float, double, double)
DEF_INTEGRAL_FUNC(64f, double, double, double)
typedef void (*IntegralFunc)(const uchar* src, size_t srcstep, uchar* sum, size_t sumstep,
uchar* sqsum, size_t sqsumstep, uchar* tilted, size_t tstep,
Size size, int cn );
}
void cv::integral( const InputArray& _src, OutputArray _sum, OutputArray _sqsum, OutputArray _tilted, int sdepth )
{
Mat src = _src.getMat(), sum, sqsum, tilted;
int depth = src.depth(), cn = src.channels();
Size isize(src.cols + 1, src.rows+1);
if( sdepth <= 0 )
sdepth = depth == CV_8U ? CV_32S : CV_64F;
sdepth = CV_MAT_DEPTH(sdepth);
_sum.create( isize, CV_MAKETYPE(sdepth, cn) );
sum = _sum.getMat();
if( _tilted.needed() )
{
_tilted.create( isize, CV_MAKETYPE(sdepth, cn) );
tilted = _tilted.getMat();
}
if( _sqsum.needed() )
{
_sqsum.create( isize, CV_MAKETYPE(CV_64F, cn) );
sqsum = _sqsum.getMat();
}
IntegralFunc func = 0;
if( depth == CV_8U && sdepth == CV_32S )
func = (IntegralFunc)integral_8u32s;
else if( depth == CV_8U && sdepth == CV_32F )
func = (IntegralFunc)integral_8u32f;
else if( depth == CV_8U && sdepth == CV_64F )
func = (IntegralFunc)integral_8u64f;
else if( depth == CV_32F && sdepth == CV_32F )
func = (IntegralFunc)integral_32f;
else if( depth == CV_32F && sdepth == CV_64F )
func = (IntegralFunc)integral_32f64f;
else if( depth == CV_64F && sdepth == CV_64F )
func = (IntegralFunc)integral_64f;
else
CV_Error( CV_StsUnsupportedFormat, "" );
func( src.data, src.step, sum.data, sum.step, sqsum.data, sqsum.step,
tilted.data, tilted.step, src.size(), cn );
}
void cv::integral( const InputArray& src, OutputArray sum, int sdepth )
{
integral( src, sum, OutputArray(), OutputArray(), sdepth );
}
void cv::integral( const InputArray& src, OutputArray sum, OutputArray sqsum, int sdepth )
{
integral( src, sum, sqsum, OutputArray(), sdepth );
}
CV_IMPL void
cvIntegral( const CvArr* image, CvArr* sumImage,
CvArr* sumSqImage, CvArr* tiltedSumImage )
{
cv::Mat src = cv::cvarrToMat(image), sum = cv::cvarrToMat(sumImage), sum0 = sum;
cv::Mat sqsum0, sqsum, tilted0, tilted;
cv::Mat *psqsum = 0, *ptilted = 0;
if( sumSqImage )
{
sqsum0 = sqsum = cv::cvarrToMat(sumSqImage);
psqsum = &sqsum;
}
if( tiltedSumImage )
{
tilted0 = tilted = cv::cvarrToMat(tiltedSumImage);
ptilted = &tilted;
}
cv::integral( src, sum, psqsum ? cv::OutputArray(*psqsum) : cv::OutputArray(),
ptilted ? cv::OutputArray(*ptilted) : cv::OutputArray(), sum.depth() );
CV_Assert( sum.data == sum0.data && sqsum.data == sqsum0.data && tilted.data == tilted0.data );
}
/* End of file. */
`
当我运行此代码时，它给出了错误..无法读取源文件 procomp.hpp....任何人都可以帮我解决这个错误..我需要使用积分图像找到图像的方差...请告诉我如何我可以做吗..