133 lines
4.5 KiB
C++
133 lines
4.5 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.
|
|
//
|
|
//
|
|
// License Agreement
|
|
// For Open Source Computer Vision Library
|
|
//
|
|
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
|
// Copyright (C) 2009, Willow Garage Inc., 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 the copyright holders 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"
|
|
#include <string>
|
|
|
|
using namespace cv;
|
|
using namespace std;
|
|
|
|
class CV_WatershedTest : public cvtest::BaseTest
|
|
{
|
|
public:
|
|
CV_WatershedTest();
|
|
~CV_WatershedTest();
|
|
protected:
|
|
void run(int);
|
|
};
|
|
|
|
CV_WatershedTest::CV_WatershedTest() {}
|
|
CV_WatershedTest::~CV_WatershedTest() {}
|
|
|
|
void CV_WatershedTest::run( int /* start_from */)
|
|
{
|
|
string exp_path = string(ts->get_data_path()) + "watershed/wshed_exp.png";
|
|
Mat exp = imread(exp_path, 0);
|
|
Mat orig = imread(string(ts->get_data_path()) + "inpaint/orig.png");
|
|
FileStorage fs(string(ts->get_data_path()) + "watershed/comp.xml", FileStorage::READ);
|
|
|
|
if (orig.empty() || !fs.isOpened())
|
|
{
|
|
ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
|
|
return;
|
|
}
|
|
|
|
CvSeq* cnts = (CvSeq*)fs["contours"].readObj();
|
|
|
|
Mat markers(orig.size(), CV_32SC1);
|
|
markers = Scalar(0);
|
|
IplImage iplmrks = markers;
|
|
|
|
vector<unsigned char> colors(1);
|
|
for(int i = 0; cnts != 0; cnts = cnts->h_next, ++i )
|
|
{
|
|
cvDrawContours( &iplmrks, cnts, Scalar::all(i + 1), Scalar::all(i + 1), -1, CV_FILLED);
|
|
Point* p = (Point*)cvGetSeqElem(cnts, 0);
|
|
|
|
//expected image was added with 1 in order to save to png
|
|
//so now we substract 1 to get real color
|
|
if(exp.data)
|
|
colors.push_back(exp.ptr(p->y)[p->x] - 1);
|
|
}
|
|
fs.release();
|
|
const int compNum = (int)(colors.size() - 1);
|
|
|
|
watershed(orig, markers);
|
|
|
|
for(int j = 0; j < markers.rows; ++j)
|
|
{
|
|
int* line = markers.ptr<int>(j);
|
|
for(int i = 0; i < markers.cols; ++i)
|
|
{
|
|
int& pixel = line[i];
|
|
|
|
if (pixel == -1) // border
|
|
continue;
|
|
|
|
if (pixel <= 0 || pixel > compNum)
|
|
continue; // bad result, doing nothing and going to get error latter;
|
|
|
|
// repaint in saved color to compare with expected;
|
|
if(exp.data)
|
|
pixel = colors[pixel];
|
|
}
|
|
}
|
|
|
|
Mat markers8U;
|
|
markers.convertTo(markers8U, CV_8U, 1, 1);
|
|
|
|
if( exp.empty() || orig.size() != exp.size() )
|
|
{
|
|
imwrite(exp_path, markers8U);
|
|
exp = markers8U;
|
|
}
|
|
|
|
if (0 != norm(markers8U, exp, NORM_INF))
|
|
{
|
|
ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH );
|
|
return;
|
|
}
|
|
ts->set_failed_test_info(cvtest::TS::OK);
|
|
}
|
|
|
|
TEST(Imgproc_Watershed, regression) { CV_WatershedTest test; test.safe_run(); }
|