static void cvTsDistTransform( const CvMat* _src, CvMat* _dst, int dist_type, intmask_size, float* _

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#include "cvtest.h"


static const char* distrans_param_names[] = { "size", "dist_type", "labels", 0 };
static const CvSize distrans_sizes[] = {{30,30}, {320, 240}, {720,480}, {-1,-1}};
static const CvSize distrans_whole_sizes[] = {{320,240}, {320, 240}, {720,480}, {-1,-1}};
static const char* distrans_types[] = { "c_3x3", "l1_3x3", "l2_3x3", "l2_5x5", 0 };
static const int distrans_labels[] = { 0, 1, -1 };


class CV_DisTransTest : public CvArrTest
{
public:
    CV_DisTransTest();


protected:
    void get_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types );
    double get_success_error_level( int test_case_idx, int i, int j );
    void run_func();
    void prepare_to_validation( int );


    void get_minmax_bounds( int i, int j, int type, CvScalar* low, CvScalar* high );
    int prepare_test_case( int test_case_idx );
    
    int write_default_params(CvFileStorage* fs);
    void get_timing_test_array_types_and_sizes( int test_case_idx, CvSize** sizes, int** types,
                                                CvSize** whole_sizes, bool *are_images );
    void print_timing_params( int test_case_idx, char* ptr, int params_left );
    int mask_size;
    int dist_type;
    int fill_labels;
    float mask[3];
};




CV_DisTransTest::CV_DisTransTest()
    : CvArrTest( "distrans", "cvDistTransform", "" )
{
    test_array[INPUT].push(NULL);
    test_array[OUTPUT].push(NULL);
    test_array[OUTPUT].push(NULL);
    test_array[REF_OUTPUT].push(NULL);
    test_array[REF_OUTPUT].push(NULL);
    optional_mask = false;
    element_wise_relative_error = true;


    default_timing_param_names = distrans_param_names;
    depth_list = 0;
    size_list = distrans_sizes;
    whole_size_list = distrans_whole_sizes;
    cn_list = 0;
}




void CV_DisTransTest::get_test_array_types_and_sizes( int test_case_idx,
                                                CvSize** sizes, int** types )
{
    CvRNG* rng = ts->get_rng();
    CvArrTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );


    types[INPUT][0] = CV_8UC1;
    types[OUTPUT][0] = types[REF_OUTPUT][0] = CV_32FC1;
    types[OUTPUT][1] = types[REF_OUTPUT][1] = CV_32SC1;
    
    if( cvTsRandInt(rng) & 1 )
    {
        mask_size = 3;
        dist_type = cvTsRandInt(rng) % 4;
        dist_type = dist_type == 0 ? CV_DIST_C : dist_type == 1 ? CV_DIST_L1 :
                    dist_type == 2 ? CV_DIST_L2 : CV_DIST_USER;
    }
    else
    {
        mask_size = 5;
        dist_type = cvTsRandInt(rng) % 10;
        dist_type = dist_type == 0 ? CV_DIST_C : dist_type == 1 ? CV_DIST_L1 :
                    dist_type < 6 ? CV_DIST_L2 : CV_DIST_USER;
    }


    // for now, check only the "labeled" distance transform mode
    fill_labels = 0;


    if( !fill_labels )
        sizes[OUTPUT][1] = sizes[REF_OUTPUT][1] = cvSize(0,0);


    if( dist_type == CV_DIST_USER )
    {
        mask[0] = (float)(1.1 - cvTsRandReal(rng)*0.2);
        mask[1] = (float)(1.9 - cvTsRandReal(rng)*0.8);
        mask[2] = (float)(3. - cvTsRandReal(rng));
    }
}




double CV_DisTransTest::get_success_error_level( int /**test_case_idx*/, int /**i*/, int /**j*/ )
{
    CvSize sz = cvGetMatSize(&test_mat[INPUT][0]);
    return dist_type == CV_DIST_C || dist_type == CV_DIST_L1 ? 0 : 0.01*MAX(sz.width, sz.height);
}




void CV_DisTransTest::get_minmax_bounds( int i, int j, int type, CvScalar* low, CvScalar* high )
{
    CvArrTest::get_minmax_bounds( i, j, type, low, high );
    if( i == INPUT && CV_MAT_DEPTH(type) == CV_8U )
    {
        *low = cvScalarAll(0);
        *high = cvScalarAll(10);
    }
}


int CV_DisTransTest::prepare_test_case( int test_case_idx )
{
    int code = CvArrTest::prepare_test_case( test_case_idx );
    if( code > 0 )
    {
        // the function's response to an "all-nonzeros" image is not determined,
        // so put at least one zero point
        CvMat* mat = &test_mat[INPUT][0];
        CvRNG* rng = ts->get_rng();
        int i = cvTsRandInt(rng) % mat->rows;
        int j = cvTsRandInt(rng) % mat->cols;
        mat->data.ptr[mat->step*i + j] = 0;
    }


    return code;
}




void CV_DisTransTest::run_func()
{
    cvDistTransform( test_array[INPUT][0], test_array[OUTPUT][0], dist_type, mask_size,
                     dist_type == CV_DIST_USER ? mask : 0, test_array[OUTPUT][1] );
}




static void
cvTsDistTransform( const CvMat* _src, CvMat* _dst, int dist_type,
                   int mask_size, float* _mask, CvMat* /**_labels*/ )
{
    int i, j, k;
    int width = _src->cols, height = _src->rows;
    const float init_val = 1e6;
    float mask[3];
    CvMat* temp;
    int ofs[16];
    float delta[16];
    int tstep, count;


    assert( mask_size == 3 || mask_size == 5 );


    if( dist_type == CV_DIST_USER )
        memcpy( mask, _mask, sizeof(mask) );
    else if( dist_type == CV_DIST_C )
    {
        mask_size = 3;
        mask[0] = mask[1] = 1.f;
    }
    else if( dist_type == CV_DIST_L1 )
    {
        mask_size = 3;
        mask[0] = 1.f;
        mask[1] = 2.f;
    }
    else if( mask_size == 3 )
    {
        mask[0] = 0.955f;
        mask[1] = 1.3693f;
    }
    else
    {
        mask[0] = 1.0f;
        mask[1] = 1.4f;
        mask[2] = 2.1969f;
    }


    temp = cvCreateMat( height + mask_size-1, width + mask_size-1, CV_32F );
    tstep = temp->step / sizeof(float);


    if( mask_size == 3 )
    {
        count = 4;
        ofs[0] = -1; delta[0] = mask[0];
        ofs[1] = -tstep-1; delta[1] = mask[1];
        ofs[2] = -tstep; delta[2] = mask[0];
        ofs[3] = -tstep+1; delta[3] = mask[1];
    }
    else
    {
        count = 8;
        ofs[0] = -1; delta[0] = mask[0];
        ofs[1] = -tstep-2; delta[1] = mask[2];
        ofs[2] = -tstep-1; delta[2] = mask[1];
        ofs[3] = -tstep; delta[3] = mask[0];
        ofs[4] = -tstep+1; delta[4] = mask[1];
        ofs[5] = -tstep+2; delta[5] = mask[2];
        ofs[6] = -tstep*2-1; delta[6] = mask[2];
        ofs[7] = -tstep*2+1; delta[7] = mask[2];
    }


    for( i = 0; i < mask_size/2; i++ )
    {
        float* t0 = (float*)(temp->data.ptr + i*temp->step);
        float* t1 = (float*)(temp->data.ptr + (temp->rows - i - 1)*temp->step);


        for( j = 0; j < width + mask_size - 1; j++ )
            t0[j] = t1[j] = init_val;
    }


    for( i = 0; i < height; i++ )
    {
        uchar* s = _src->data.ptr + i*_src->step;
        float* tmp = (float*)(temp->data.ptr + temp->step*(i + (mask_size/2))) + (mask_size/2);


        for( j = 0; j < mask_size/2; j++ )
            tmp[-j-1] = tmp[j + width] = init_val;
        
        for( j = 0; j < width; j++ )
        {
            if( s[j] == 0 )
                tmp[j] = 0;
            else
            {
                float min_dist = init_val;
                for( k = 0; k < count; k++ )
                {
                    float t = tmp[j+ofs[k]] + delta[k];
                    if( min_dist > t )
                        min_dist = t;
                }
                tmp[j] = min_dist;
            }
        }
    }


    for( i = height - 1; i >= 0; i-- )
    {
        float* d = (float*)(_dst->data.ptr + i*_dst->step);
        float* tmp = (float*)(temp->data.ptr + temp->step*(i + (mask_size/2))) + (mask_size/2);


        for( j = width - 1; j >= 0; j-- )
        {
            float min_dist = tmp[j];
            if( min_dist > mask[0] )
            {
                for( k = 0; k < count; k++ )
                {
                    float t = tmp[j-ofs[k]] + delta[k];
                    if( min_dist > t )
                        min_dist = t;
                }
                tmp[j] = min_dist;
            }
            d[j] = min_dist;
        }
    }


    cvReleaseMat( &temp );
}




void CV_DisTransTest::prepare_to_validation( int /**test_case_idx*/ )
{
    cvTsDistTransform( &test_mat[INPUT][0], &test_mat[REF_OUTPUT][0],
                       dist_type, mask_size, mask, 0 );
}




int CV_DisTransTest::write_default_params( CvFileStorage* fs )
{
    int code = CvArrTest::write_default_params( fs );
    if( code < 0 )
        return code;
    
    if( ts->get_testing_mode() == CvTS::TIMING_MODE )
    {
        start_write_param( fs );        
        write_string_list( fs, "dist_type", distrans_types );
        write_int_list( fs, "labels", distrans_labels, -1, -1 );
    }


    return code;
}




void CV_DisTransTest::get_timing_test_array_types_and_sizes( int test_case_idx,
                CvSize** sizes, int** types, CvSize** whole_sizes, bool *are_images )
{
    CvArrTest::get_timing_test_array_types_and_sizes( test_case_idx, sizes, types,
                                                      whole_sizes, are_images );
    const char* distype_str = cvReadString( find_timing_param( "dist_type" ), "l2_5x5" );
    mask_size = strstr( distype_str, "3x3" ) ? 3 : 5;
    dist_type = distype_str[0] == 'c' ? CV_DIST_C : distype_str[1] == '1' ? CV_DIST_L1 : CV_DIST_L2;
    fill_labels = cvReadInt( find_timing_param( "labels" ), 0 );


    types[INPUT][0] = CV_8UC1;
    types[OUTPUT][0] = CV_32FC1;
    types[OUTPUT][1] = CV_32SC1;


    if( !fill_labels )
        sizes[OUTPUT][1] = whole_sizes[OUTPUT][1] = cvSize(0,0);
}




void CV_DisTransTest::print_timing_params( int test_case_idx, char* ptr, int params_left )
{
    sprintf( ptr, "%s,", cvReadString( find_timing_param( "dist_type" ), "l2_5x5" ) );
    ptr += strlen(ptr);
    sprintf( ptr, "%s,", fill_labels ? "labels" : "no_labels" );
    ptr += strlen(ptr);
    params_left -= 2;


    CvArrTest::print_timing_params( test_case_idx, ptr, params_left );
}




CV_DisTransTest distrans_test;