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Diffstat (limited to 'cv/src/cvpgh.cpp')
| -rw-r--r-- | cv/src/cvpgh.cpp | 363 |
1 files changed, 363 insertions, 0 deletions
diff --git a/cv/src/cvpgh.cpp b/cv/src/cvpgh.cpp new file mode 100644 index 0000000..8caaf4f --- /dev/null +++ b/cv/src/cvpgh.cpp @@ -0,0 +1,363 @@ +/*M/////////////////////////////////////////////////////////////////////////////////////// +// +// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. +// +// By downloading, copying, installing or using the software you agree to this license. +// If you do not agree to this license, do not download, install, +// copy or use the software. +// +// +// Intel License Agreement +// For Open Source Computer Vision Library +// +// Copyright (C) 2000, Intel Corporation, all rights reserved. +// Third party copyrights are property of their respective owners. +// +// Redistribution and use in source and binary forms, with or without modification, +// are permitted provided that the following conditions are met: +// +// * Redistribution's of source code must retain the above copyright notice, +// this list of conditions and the following disclaimer. +// +// * Redistribution's in binary form must reproduce the above copyright notice, +// this list of conditions and the following disclaimer in the documentation +// and/or other materials provided with the distribution. +// +// * The name of Intel Corporation may not be used to endorse or promote products +// derived from this software without specific prior written permission. +// +// This software is provided by the copyright holders and contributors "as is" and +// any express or implied warranties, including, but not limited to, the implied +// warranties of merchantability and fitness for a particular purpose are disclaimed. +// In no event shall the Intel Corporation or contributors be liable for any direct, +// indirect, incidental, special, exemplary, or consequential damages +// (including, but not limited to, procurement of substitute goods or services; +// loss of use, data, or profits; or business interruption) however caused +// and on any theory of liability, whether in contract, strict liability, +// or tort (including negligence or otherwise) arising in any way out of +// the use of this software, even if advised of the possibility of such damage. +// +//M*/ +#include "_cv.h" + +#define _CV_ACOS_TABLE_SIZE 513 + +static const float icv_acos_table[_CV_ACOS_TABLE_SIZE] = { + 3.14159265f, 3.05317551f, 3.01651113f, 2.98834964f, 2.96458497f, 2.94362719f, + 2.92466119f, 2.90720289f, 2.89093699f, 2.87564455f, 2.86116621f, 2.84738169f, + 2.83419760f, 2.82153967f, 2.80934770f, 2.79757211f, 2.78617145f, 2.77511069f, + 2.76435988f, 2.75389319f, 2.74368816f, 2.73372510f, 2.72398665f, 2.71445741f, + 2.70512362f, 2.69597298f, 2.68699438f, 2.67817778f, 2.66951407f, 2.66099493f, + 2.65261279f, 2.64436066f, 2.63623214f, 2.62822133f, 2.62032277f, 2.61253138f, + 2.60484248f, 2.59725167f, 2.58975488f, 2.58234828f, 2.57502832f, 2.56779164f, + 2.56063509f, 2.55355572f, 2.54655073f, 2.53961750f, 2.53275354f, 2.52595650f, + 2.51922417f, 2.51255441f, 2.50594525f, 2.49939476f, 2.49290115f, 2.48646269f, + 2.48007773f, 2.47374472f, 2.46746215f, 2.46122860f, 2.45504269f, 2.44890314f, + 2.44280867f, 2.43675809f, 2.43075025f, 2.42478404f, 2.41885841f, 2.41297232f, + 2.40712480f, 2.40131491f, 2.39554173f, 2.38980439f, 2.38410204f, 2.37843388f, + 2.37279910f, 2.36719697f, 2.36162673f, 2.35608768f, 2.35057914f, 2.34510044f, + 2.33965094f, 2.33423003f, 2.32883709f, 2.32347155f, 2.31813284f, 2.31282041f, + 2.30753373f, 2.30227228f, 2.29703556f, 2.29182309f, 2.28663439f, 2.28146900f, + 2.27632647f, 2.27120637f, 2.26610827f, 2.26103177f, 2.25597646f, 2.25094195f, + 2.24592786f, 2.24093382f, 2.23595946f, 2.23100444f, 2.22606842f, 2.22115104f, + 2.21625199f, 2.21137096f, 2.20650761f, 2.20166166f, 2.19683280f, 2.19202074f, + 2.18722520f, 2.18244590f, 2.17768257f, 2.17293493f, 2.16820274f, 2.16348574f, + 2.15878367f, 2.15409630f, 2.14942338f, 2.14476468f, 2.14011997f, 2.13548903f, + 2.13087163f, 2.12626757f, 2.12167662f, 2.11709859f, 2.11253326f, 2.10798044f, + 2.10343994f, 2.09891156f, 2.09439510f, 2.08989040f, 2.08539725f, 2.08091550f, + 2.07644495f, 2.07198545f, 2.06753681f, 2.06309887f, 2.05867147f, 2.05425445f, + 2.04984765f, 2.04545092f, 2.04106409f, 2.03668703f, 2.03231957f, 2.02796159f, + 2.02361292f, 2.01927344f, 2.01494300f, 2.01062146f, 2.00630870f, 2.00200457f, + 1.99770895f, 1.99342171f, 1.98914271f, 1.98487185f, 1.98060898f, 1.97635399f, + 1.97210676f, 1.96786718f, 1.96363511f, 1.95941046f, 1.95519310f, 1.95098292f, + 1.94677982f, 1.94258368f, 1.93839439f, 1.93421185f, 1.93003595f, 1.92586659f, + 1.92170367f, 1.91754708f, 1.91339673f, 1.90925250f, 1.90511432f, 1.90098208f, + 1.89685568f, 1.89273503f, 1.88862003f, 1.88451060f, 1.88040664f, 1.87630806f, + 1.87221477f, 1.86812668f, 1.86404371f, 1.85996577f, 1.85589277f, 1.85182462f, + 1.84776125f, 1.84370256f, 1.83964848f, 1.83559892f, 1.83155381f, 1.82751305f, + 1.82347658f, 1.81944431f, 1.81541617f, 1.81139207f, 1.80737194f, 1.80335570f, + 1.79934328f, 1.79533460f, 1.79132959f, 1.78732817f, 1.78333027f, 1.77933581f, + 1.77534473f, 1.77135695f, 1.76737240f, 1.76339101f, 1.75941271f, 1.75543743f, + 1.75146510f, 1.74749565f, 1.74352900f, 1.73956511f, 1.73560389f, 1.73164527f, + 1.72768920f, 1.72373560f, 1.71978441f, 1.71583556f, 1.71188899f, 1.70794462f, + 1.70400241f, 1.70006228f, 1.69612416f, 1.69218799f, 1.68825372f, 1.68432127f, + 1.68039058f, 1.67646160f, 1.67253424f, 1.66860847f, 1.66468420f, 1.66076139f, + 1.65683996f, 1.65291986f, 1.64900102f, 1.64508338f, 1.64116689f, 1.63725148f, + 1.63333709f, 1.62942366f, 1.62551112f, 1.62159943f, 1.61768851f, 1.61377831f, + 1.60986877f, 1.60595982f, 1.60205142f, 1.59814349f, 1.59423597f, 1.59032882f, + 1.58642196f, 1.58251535f, 1.57860891f, 1.57470259f, 1.57079633f, 1.56689007f, + 1.56298375f, 1.55907731f, 1.55517069f, 1.55126383f, 1.54735668f, 1.54344917f, + 1.53954124f, 1.53563283f, 1.53172389f, 1.52781434f, 1.52390414f, 1.51999323f, + 1.51608153f, 1.51216900f, 1.50825556f, 1.50434117f, 1.50042576f, 1.49650927f, + 1.49259163f, 1.48867280f, 1.48475270f, 1.48083127f, 1.47690845f, 1.47298419f, + 1.46905841f, 1.46513106f, 1.46120207f, 1.45727138f, 1.45333893f, 1.44940466f, + 1.44546850f, 1.44153038f, 1.43759024f, 1.43364803f, 1.42970367f, 1.42575709f, + 1.42180825f, 1.41785705f, 1.41390346f, 1.40994738f, 1.40598877f, 1.40202755f, + 1.39806365f, 1.39409701f, 1.39012756f, 1.38615522f, 1.38217994f, 1.37820164f, + 1.37422025f, 1.37023570f, 1.36624792f, 1.36225684f, 1.35826239f, 1.35426449f, + 1.35026307f, 1.34625805f, 1.34224937f, 1.33823695f, 1.33422072f, 1.33020059f, + 1.32617649f, 1.32214834f, 1.31811607f, 1.31407960f, 1.31003885f, 1.30599373f, + 1.30194417f, 1.29789009f, 1.29383141f, 1.28976803f, 1.28569989f, 1.28162688f, + 1.27754894f, 1.27346597f, 1.26937788f, 1.26528459f, 1.26118602f, 1.25708205f, + 1.25297262f, 1.24885763f, 1.24473698f, 1.24061058f, 1.23647833f, 1.23234015f, + 1.22819593f, 1.22404557f, 1.21988898f, 1.21572606f, 1.21155670f, 1.20738080f, + 1.20319826f, 1.19900898f, 1.19481283f, 1.19060973f, 1.18639955f, 1.18218219f, + 1.17795754f, 1.17372548f, 1.16948589f, 1.16523866f, 1.16098368f, 1.15672081f, + 1.15244994f, 1.14817095f, 1.14388370f, 1.13958808f, 1.13528396f, 1.13097119f, + 1.12664966f, 1.12231921f, 1.11797973f, 1.11363107f, 1.10927308f, 1.10490563f, + 1.10052856f, 1.09614174f, 1.09174500f, 1.08733820f, 1.08292118f, 1.07849378f, + 1.07405585f, 1.06960721f, 1.06514770f, 1.06067715f, 1.05619540f, 1.05170226f, + 1.04719755f, 1.04268110f, 1.03815271f, 1.03361221f, 1.02905939f, 1.02449407f, + 1.01991603f, 1.01532509f, 1.01072102f, 1.00610363f, 1.00147268f, 0.99682798f, + 0.99216928f, 0.98749636f, 0.98280898f, 0.97810691f, 0.97338991f, 0.96865772f, + 0.96391009f, 0.95914675f, 0.95436745f, 0.94957191f, 0.94475985f, 0.93993099f, + 0.93508504f, 0.93022170f, 0.92534066f, 0.92044161f, 0.91552424f, 0.91058821f, + 0.90563319f, 0.90065884f, 0.89566479f, 0.89065070f, 0.88561619f, 0.88056088f, + 0.87548438f, 0.87038629f, 0.86526619f, 0.86012366f, 0.85495827f, 0.84976956f, + 0.84455709f, 0.83932037f, 0.83405893f, 0.82877225f, 0.82345981f, 0.81812110f, + 0.81275556f, 0.80736262f, 0.80194171f, 0.79649221f, 0.79101352f, 0.78550497f, + 0.77996593f, 0.77439569f, 0.76879355f, 0.76315878f, 0.75749061f, 0.75178826f, + 0.74605092f, 0.74027775f, 0.73446785f, 0.72862033f, 0.72273425f, 0.71680861f, + 0.71084240f, 0.70483456f, 0.69878398f, 0.69268952f, 0.68654996f, 0.68036406f, + 0.67413051f, 0.66784794f, 0.66151492f, 0.65512997f, 0.64869151f, 0.64219789f, + 0.63564741f, 0.62903824f, 0.62236849f, 0.61563615f, 0.60883911f, 0.60197515f, + 0.59504192f, 0.58803694f, 0.58095756f, 0.57380101f, 0.56656433f, 0.55924437f, + 0.55183778f, 0.54434099f, 0.53675018f, 0.52906127f, 0.52126988f, 0.51337132f, + 0.50536051f, 0.49723200f, 0.48897987f, 0.48059772f, 0.47207859f, 0.46341487f, + 0.45459827f, 0.44561967f, 0.43646903f, 0.42713525f, 0.41760600f, 0.40786755f, + 0.39790449f, 0.38769946f, 0.37723277f, 0.36648196f, 0.35542120f, 0.34402054f, + 0.33224495f, 0.32005298f, 0.30739505f, 0.29421096f, 0.28042645f, 0.26594810f, + 0.25065566f, 0.23438976f, 0.21693146f, 0.19796546f, 0.17700769f, 0.15324301f, + 0.12508152f, 0.08841715f, 0.00000000f +}; + + +/*F/////////////////////////////////////////////////////////////////////////////////////// +// Name: icvCalcPGH +// Purpose: +// Calculates PGH(pairwise geometric histogram) for contour given. +// Context: +// Parameters: +// contour - pointer to input contour object. +// pgh - output histogram +// ang_dim - number of angle bins (vertical size of histogram) +// dist_dim - number of distance bins (horizontal size of histogram) +// Returns: +// CV_OK or error code +// Notes: +//F*/ +static CvStatus +icvCalcPGH( const CvSeq * contour, float *pgh, int angle_dim, int dist_dim ) +{ + char local_buffer[(1 << 14) + 32]; + float *local_buffer_ptr = (float *)cvAlignPtr(local_buffer,32); + float *buffer = local_buffer_ptr; + double angle_scale = (angle_dim - 0.51) / icv_acos_table[0]; + double dist_scale = DBL_EPSILON; + int buffer_size; + int i, count, pass; + int *pghi = (int *) pgh; + int hist_size = angle_dim * dist_dim; + CvSeqReader reader1, reader2; /* external and internal readers */ + + if( !contour || !pgh ) + return CV_NULLPTR_ERR; + + if( angle_dim <= 0 || angle_dim > 180 || dist_dim <= 0 ) + return CV_BADRANGE_ERR; + + if( !CV_IS_SEQ_POLYGON( contour )) + return CV_BADFLAG_ERR; + + memset( pgh, 0, hist_size * sizeof( pgh[0] )); + + count = contour->total; + + /* allocate buffer for distances */ + buffer_size = count * sizeof( float ); + + if( buffer_size > (int)sizeof(local_buffer) - 32 ) + { + buffer = (float *) cvAlloc( buffer_size ); + if( !buffer ) + return CV_OUTOFMEM_ERR; + } + + cvStartReadSeq( contour, &reader1, 0 ); + cvStartReadSeq( contour, &reader2, 0 ); + + /* calc & store squared edge lengths, calculate maximal distance between edges */ + for( i = 0; i < count; i++ ) + { + CvPoint pt1, pt2; + double dx, dy; + + CV_READ_EDGE( pt1, pt2, reader1 ); + + dx = pt2.x - pt1.x; + dy = pt2.y - pt1.y; + buffer[i] = (float)(1./sqrt(dx * dx + dy * dy)); + } + + /* + do 2 passes. + First calculates maximal distance. + Second calculates histogram itself. + */ + for( pass = 1; pass <= 2; pass++ ) + { + double dist_coeff = 0, angle_coeff = 0; + + /* run external loop */ + for( i = 0; i < count; i++ ) + { + CvPoint pt1, pt2; + int dx, dy; + int dist = 0; + + CV_READ_EDGE( pt1, pt2, reader1 ); + + dx = pt2.x - pt1.x; + dy = pt2.y - pt1.y; + + if( (dx | dy) != 0 ) + { + int j; + + if( pass == 2 ) + { + dist_coeff = buffer[i] * dist_scale; + angle_coeff = buffer[i] * (_CV_ACOS_TABLE_SIZE / 2); + } + + /* run internal loop (for current edge) */ + for( j = 0; j < count; j++ ) + { + CvPoint pt3, pt4; + + CV_READ_EDGE( pt3, pt4, reader2 ); + + if( i != j ) /* process edge pair */ + { + int d1 = (pt3.y - pt1.y) * dx - (pt3.x - pt1.x) * dy; + int d2 = (pt4.y - pt1.y) * dx - (pt2.x - pt1.x) * dy; + int cross_flag; + int *hist_row = 0; + + if( pass == 2 ) + { + int dp = (pt4.x - pt3.x) * dx + (pt4.y - pt3.y) * dy; + + dp = cvRound( dp * angle_coeff * buffer[j] ) + + (_CV_ACOS_TABLE_SIZE / 2); + dp = MAX( dp, 0 ); + dp = MIN( dp, _CV_ACOS_TABLE_SIZE - 1 ); + hist_row = pghi + dist_dim * + cvRound( icv_acos_table[dp] * angle_scale ); + + d1 = cvRound( d1 * dist_coeff ); + d2 = cvRound( d2 * dist_coeff ); + } + + cross_flag = (d1 ^ d2) < 0; + + d1 = CV_IABS( d1 ); + d2 = CV_IABS( d2 ); + + if( pass == 2 ) + { + if( d1 >= dist_dim ) + d1 = dist_dim - 1; + if( d2 >= dist_dim ) + d2 = dist_dim - 1; + + if( !cross_flag ) + { + if( d1 > d2 ) /* make d1 <= d2 */ + { + d1 ^= d2; + d2 ^= d1; + d1 ^= d2; + } + + for( ; d1 <= d2; d1++ ) + hist_row[d1]++; + } + else + { + for( ; d1 >= 0; d1-- ) + hist_row[d1]++; + for( ; d2 >= 0; d2-- ) + hist_row[d2]++; + } + } + else /* 1st pass */ + { + d1 = CV_IMAX( d1, d2 ); + dist = CV_IMAX( dist, d1 ); + } + } /* end of processing of edge pair */ + + } /* end of internal loop */ + + if( pass == 1 ) + { + double scale = dist * buffer[i]; + + dist_scale = MAX( dist_scale, scale ); + } + } + } /* end of external loop */ + + if( pass == 1 ) + { + dist_scale = (dist_dim - 0.51) / dist_scale; + } + + } /* end of pass on loops */ + + + /* convert hist to floats */ + for( i = 0; i < hist_size; i++ ) + { + ((float *) pghi)[i] = (float) pghi[i]; + } + + if( buffer != local_buffer_ptr ) + cvFree( &buffer ); + + return CV_OK; +} + + +CV_IMPL void +cvCalcPGH( const CvSeq * contour, CvHistogram * hist ) +{ + CV_FUNCNAME( "cvCalcPGH" ); + + __BEGIN__; + + int size[CV_MAX_DIM]; + int dims; + + if( !CV_IS_HIST(hist)) + CV_ERROR( CV_StsBadArg, "The histogram header is invalid " ); + + if( CV_IS_SPARSE_HIST( hist )) + CV_ERROR( CV_StsUnsupportedFormat, "Sparse histogram are not supported" ); + + dims = cvGetDims( hist->bins, size ); + + if( dims != 2 ) + CV_ERROR( CV_StsBadSize, "The histogram must be two-dimensional" ); + + if( !CV_IS_SEQ_POLYGON( contour ) || CV_SEQ_ELTYPE( contour ) != CV_32SC2 ) + CV_ERROR( CV_StsUnsupportedFormat, "The contour is not valid or the point type is not supported" ); + + IPPI_CALL( icvCalcPGH( contour, ((CvMatND*)(hist->bins))->data.fl, size[0], size[1] )); + + __END__; +} + + +/* End of file. */ |