mirror of
https://github.com/opencv/opencv.git
synced 2024-12-05 17:59:13 +08:00
205 lines
6.8 KiB
C++
205 lines
6.8 KiB
C++
/*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 "test_precomp.hpp"
|
|
|
|
using namespace cv;
|
|
using namespace std;
|
|
|
|
class CV_PyrSegmentationTest : public cvtest::BaseTest
|
|
{
|
|
public:
|
|
CV_PyrSegmentationTest();
|
|
protected:
|
|
void run(int);
|
|
};
|
|
|
|
#define SCAN 0
|
|
|
|
CV_PyrSegmentationTest::CV_PyrSegmentationTest()
|
|
{
|
|
}
|
|
|
|
void CV_PyrSegmentationTest::run( int /*start_from*/ )
|
|
{
|
|
Mat _image_f, _image, _image_s;
|
|
const int level = 5;
|
|
const double range = 15;
|
|
|
|
int code = cvtest::TS::OK;
|
|
|
|
CvPoint _cp[] ={{33,33}, {43,33}, {43,43}, {33,43}};
|
|
CvPoint _cp2[] ={{50,50}, {70,50}, {70,70}, {50,70}};
|
|
CvPoint* cp = _cp;
|
|
CvPoint* cp2 = _cp2;
|
|
CvConnectedComp *dst_comp[3];
|
|
CvRect rect[3] = {{50,50,21,21}, {0,0,128,128}, {33,33,11,11}};
|
|
double a[3] = {441.0, 15822.0, 121.0};
|
|
|
|
/* ippiPoint cp3[] ={130,130, 150,130, 150,150, 130,150}; */
|
|
/* CvPoint cp[] ={0,0, 5,5, 5,0, 10,5, 10,0, 15,5, 15,0}; */
|
|
int nPoints = 4;
|
|
int block_size = 1000;
|
|
|
|
CvMemStorage *storage; /* storage for connected component writing */
|
|
CvSeq *comp;
|
|
|
|
RNG& rng = ts->get_rng();
|
|
int i, j, iter;
|
|
|
|
IplImage *image, *image_f, *image_s;
|
|
CvSize size = {128, 128};
|
|
const int threshold1 = 50, threshold2 = 50;
|
|
|
|
rect[1].width = size.width;
|
|
rect[1].height = size.height;
|
|
a[1] = size.width*size.height - a[0] - a[2];
|
|
|
|
OPENCV_CALL( storage = cvCreateMemStorage( block_size ) );
|
|
|
|
for( iter = 0; iter < 2; iter++ )
|
|
{
|
|
int channels = iter == 0 ? 1 : 3;
|
|
int mask[] = {0,0,0};
|
|
|
|
image = cvCreateImage(size, 8, channels );
|
|
image_s = cvCloneImage( image );
|
|
image_f = cvCloneImage( image );
|
|
|
|
if( channels == 1 )
|
|
{
|
|
int color1 = 30, color2 = 110, color3 = 190;
|
|
|
|
cvSet( image, cvScalarAll(color1));
|
|
cvFillPoly( image, &cp, &nPoints, 1, cvScalar(color2));
|
|
cvFillPoly( image, &cp2, &nPoints, 1, cvScalar(color3));
|
|
}
|
|
else
|
|
{
|
|
CvScalar color1 = CV_RGB(30,30,30), color2 = CV_RGB(255,0,0), color3 = CV_RGB(0,255,0);
|
|
|
|
assert( channels == 3 );
|
|
cvSet( image, color1 );
|
|
cvFillPoly( image, &cp, &nPoints, 1, color2);
|
|
cvFillPoly( image, &cp2, &nPoints, 1, color3);
|
|
}
|
|
|
|
_image_f = cvarrToMat(image_f);
|
|
cvtest::randUni( rng, _image_f, cvScalarAll(0), cvScalarAll(range*2) );
|
|
cvAddWeighted( image, 1, image_f, 1, -range, image_f );
|
|
|
|
cvPyrSegmentation( image_f, image_s,
|
|
storage, &comp,
|
|
level, threshold1, threshold2 );
|
|
|
|
if(comp->total != 3)
|
|
{
|
|
ts->printf( cvtest::TS::LOG,
|
|
"The segmentation function returned %d (not 3) components\n", comp->total );
|
|
code = cvtest::TS::FAIL_INVALID_OUTPUT;
|
|
goto _exit_;
|
|
}
|
|
/* read the connected components */
|
|
dst_comp[0] = (CvConnectedComp*)CV_GET_SEQ_ELEM( CvConnectedComp, comp, 0 );
|
|
dst_comp[1] = (CvConnectedComp*)CV_GET_SEQ_ELEM( CvConnectedComp, comp, 1 );
|
|
dst_comp[2] = (CvConnectedComp*)CV_GET_SEQ_ELEM( CvConnectedComp, comp, 2 );
|
|
|
|
/*{
|
|
for( i = 0; i < 3; i++ )
|
|
{
|
|
CvRect r = dst_comp[i]->rect;
|
|
cvRectangle( image_s, cvPoint(r.x,r.y), cvPoint(r.x+r.width,r.y+r.height),
|
|
CV_RGB(255,255,255), 3, 8, 0 );
|
|
}
|
|
|
|
cvNamedWindow( "test", 1 );
|
|
cvShowImage( "test", image_s );
|
|
cvWaitKey(0);
|
|
}*/
|
|
|
|
_image = cvarrToMat(image);
|
|
_image_s = cvarrToMat(image_s);
|
|
code = cvtest::cmpEps2( ts, _image, _image_s, 10, false, "the output image" );
|
|
if( code < 0 )
|
|
goto _exit_;
|
|
|
|
for( i = 0; i < 3; i++)
|
|
{
|
|
for( j = 0; j < 3; j++ )
|
|
{
|
|
if( !mask[j] && dst_comp[i]->area == a[j] &&
|
|
dst_comp[i]->rect.x == rect[j].x &&
|
|
dst_comp[i]->rect.y == rect[j].y &&
|
|
dst_comp[i]->rect.width == rect[j].width &&
|
|
dst_comp[i]->rect.height == rect[j].height )
|
|
{
|
|
mask[j] = 1;
|
|
break;
|
|
}
|
|
}
|
|
if( j == 3 )
|
|
{
|
|
ts->printf( cvtest::TS::LOG, "The component #%d is incorrect\n", i );
|
|
code = cvtest::TS::FAIL_BAD_ACCURACY;
|
|
goto _exit_;
|
|
}
|
|
}
|
|
|
|
cvReleaseImage(&image_f);
|
|
cvReleaseImage(&image);
|
|
cvReleaseImage(&image_s);
|
|
}
|
|
|
|
_exit_:
|
|
|
|
cvReleaseMemStorage( &storage );
|
|
cvReleaseImage(&image_f);
|
|
cvReleaseImage(&image);
|
|
cvReleaseImage(&image_s);
|
|
|
|
if( code < 0 )
|
|
ts->set_failed_test_info( code );
|
|
}
|
|
|
|
TEST(Legacy_PyrSegmentation, regression) { CV_PyrSegmentationTest test; test.safe_run(); }
|
|
|
|
/* End of file. */
|