Fixed test errors, added support for C data types.

pull/2765/head
pradeep 11 years ago
parent c5b4b99350
commit f8b23cff18
  1. 34
      modules/imgproc/src/histogram.cpp
  2. 18
      modules/imgproc/test/test_histograms.cpp

@ -2325,13 +2325,16 @@ double cv::compareHist( InputArray _H1, InputArray _H2, int method )
}
else if( method == CV_COMP_KL_DIV )
{
for( j = 0; j < len; j++ ){
for( j = 0; j < len; j++ )
{
double p = h1[j];
double q = h2[j];
if( p == 0.0 )
if( fabs(p) <= DBL_EPSILON ) {
continue;
if( q == 0.0 )
q += 1e-10;
}
if( fabs(q) <= DBL_EPSILON ) {
q = 1e-10;
}
result += p * cv::log( p / q );
}
}
@ -2370,7 +2373,7 @@ double cv::compareHist( const SparseMat& H1, const SparseMat& H2, int method )
CV_Assert( H1.size(i) == H2.size(i) );
const SparseMat *PH1 = &H1, *PH2 = &H2;
if( PH1->nzcount() > PH2->nzcount() && method != CV_COMP_CHISQR && method != CV_COMP_CHISQR_ALT)
if( PH1->nzcount() > PH2->nzcount() && method != CV_COMP_CHISQR && method != CV_COMP_CHISQR_ALT && method != CV_COMP_KL_DIV )
std::swap(PH1, PH2);
SparseMatConstIterator it = PH1->begin();
@ -2450,6 +2453,18 @@ double cv::compareHist( const SparseMat& H1, const SparseMat& H2, int method )
s1 = fabs(s1) > FLT_EPSILON ? 1./std::sqrt(s1) : 1.;
result = std::sqrt(std::max(1. - result*s1, 0.));
}
else if( method == CV_COMP_KL_DIV )
{
for( i = 0; i < N1; i++, ++it )
{
float v1 = it.value<float>();
const SparseMat::Node* node = it.node();
float v2 = PH2->value<float>(node->idx, (size_t*)&node->hashval);
if( !v2 )
v2 = 1e-10;
result += v1 * cv::log( v1 / v2 );
}
}
else
CV_Error( CV_StsBadArg, "Unknown comparison method" );
@ -2795,7 +2810,7 @@ cvCompareHist( const CvHistogram* hist1,
CvSparseMatIterator iterator;
CvSparseNode *node1, *node2;
if( mat1->heap->active_count > mat2->heap->active_count && method != CV_COMP_CHISQR && method != CV_COMP_CHISQR_ALT)
if( mat1->heap->active_count > mat2->heap->active_count && method != CV_COMP_CHISQR && method != CV_COMP_CHISQR_ALT && method != CV_COMP_KL_DIV )
{
CvSparseMat* t;
CV_SWAP( mat1, mat2, t );
@ -2897,6 +2912,13 @@ cvCompareHist( const CvHistogram* hist1,
result = 1. - result*s1;
result = sqrt(MAX(result,0.));
}
else if( method == CV_COMP_KL_DIV )
{
cv::SparseMat sH1, sH2;
((const CvSparseMat*)hist1->bins)->copyToSparseMat(sH1);
((const CvSparseMat*)hist2->bins)->copyToSparseMat(sH2);
result = cv::compareHist( sH1, sH2, CV_COMP_KL_DIV );
}
else
CV_Error( CV_StsBadArg, "Unknown comparison method" );

@ -1021,11 +1021,12 @@ int CV_CompareHistTest::validate_test_results( int /*test_case_idx*/ )
sq0 += v0*v0;
sq1 += v1*v1;
result0[CV_COMP_BHATTACHARYYA] += sqrt(v0*v1);
if( fabs(v0) > DBL_EPSILON )
{
if( fabs(v1) < DBL_EPSILON )
v1 += 1e-10;
result0[CV_COMP_KL_DIV] += v0 * cv::log( v0 / v1 );
if( fabs(v0) <= DBL_EPSILON )
continue;
if( fabs(v1) <= DBL_EPSILON )
v1 = 1e-10;
result0[CV_COMP_KL_DIV] += v0 * std::log( v0 / v1 );
}
}
}
@ -1052,11 +1053,12 @@ int CV_CompareHistTest::validate_test_results( int /*test_case_idx*/ )
s0 += v0;
sq0 += v0*v0;
result0[CV_COMP_BHATTACHARYYA] += sqrt(v0*v1);
if( fabs(v0) > DBL_EPSILON )
{
if( fabs(v1) < DBL_EPSILON )
v1 += 1e-10;
result0[CV_COMP_KL_DIV] += v0 * cv::log( v0 / v1 );
if (v0 <= DBL_EPSILON)
continue;
if (!v1)
v1 = 1e-10;
result0[CV_COMP_KL_DIV] += v0 * cv::log( v0 / v1 );
}
}

Loading…
Cancel
Save