OpenCV中Integral Image的源码
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在一个叫Google讨论班的网络文件夹上找到了一篇将real-time object detection的ppt。
里面Integral Image的Recursive形式没有完全理解，看一下源码学习一下。
ppt中只给了这个公式。
s: cumulative row
i: original image
ii: integral image
walk的话和普通bmp一样外循环y，内循环x
计算分成两步：1.计算当前行的summation
2.前一行的summation+当前行的summation
位置是OpenCV-2.1.0-win\OpenCV-2.1.0\src\cv\cvsumpixels.cpp(55):void integral_( const Mat& _src, Mat& _sum, Mat& _sqsum, Mat& _tilted )
void integral_( const Mat& _src, Mat& _sum, Mat& _sqsum, Mat& _tilted ){ int cn = _src.channels(); Size size = _src.size(); int x, y, k; const T* src = (const T*)_src.data; ST* sum = (ST*)_sum.data; ST* tilted = (ST*)_tilted.data; QT* sqsum = (QT*)_sqsum.data; int srcstep = (int)(_src.step/sizeof(T)); int sumstep = (int)(_sum.step/sizeof(ST)); int tiltedstep = (int)(_tilted.step/sizeof(ST)); int sqsumstep = (int)(_sqsum.step/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 ) { //s( x, y ) = s( x-1, y ) + i( x, y ) //sum( x, y) = sum( x, y-1 ) + s( x, y ) 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 += sqr<QT>(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++, sqsum++, buf++ ) { sum[-cn] = tilted[-cn] = 0; sqsum[-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 += sqr<QT>(it); sum[x] = s; sqsum[x] = sq; } if( size.width == cn ) buf[cn] = 0; } for( y = 1; y < size.height; y++ ) { src += srcstep - cn; sum += sumstep - cn; sqsum += sqsumstep - cn; tilted += tiltedstep - cn; buf += -cn; for( k = 0; k < cn; k++, src++, sum++, sqsum++, tilted++, buf++ ) { T it = src[0]; ST t0 = s = it; QT tq0 = sq = sqr<QT>(it); sum[-cn] = 0; sqsum[-cn] = 0; tilted[-cn] = tilted[-tiltedstep]; sum[0] = sum[-sumstep] + t0; 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 = sqr<QT>(it); s += t0; sq += tq0; sum[x] = sum[x - sumstep] + s; 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 = sqr<QT>(it); s += t0; sq += tq0; sum[x] = sum[x - sumstep] + s; sqsum[x] = sqsum[x - sqsumstep] + sq; tilted[x] = t0 + t1 + tilted[x - tiltedstep - cn]; buf[x] = t0; } } } }}- OpenCV中Integral Image的源码
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