Mser regression test was added

git-svn-id: https://code.ros.org/svn/opencv/trunk@2626 73c94f0f-984f-4a5f-82bc-2d8db8d8ee08

diff --git a/opencv/tests/cv/src/amser.cpp b/opencv/tests/cv/src/amser.cpp
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+++ b/opencv/tests/cv/src/amser.cpp
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+/*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 "cvtest.h"
+#include <vector>
+#include <string>
+using namespace std;
+using namespace cv;
+
+class CV_MserTest : public CvTest
+{
+public:
+    CV_MserTest();  
+protected:    
+    void run(int);
+       int LoadBoxes(const char* path, vector<CvBox2D>& boxes);
+       int SaveBoxes(const char* path, const vector<CvBox2D>& boxes);
+       int CompareBoxes(const vector<CvBox2D>& boxes1,const vector<CvBox2D>& boxes2, float max_rel_diff = 0.01f);
+};
+
+CV_MserTest::CV_MserTest() : CvTest("MSER","cvExtractMSER")
+{
+}
+
+int CV_MserTest::LoadBoxes(const char* path, vector<CvBox2D>& boxes)
+{
+       boxes.clear();
+       FILE* f = fopen(path,"r");
+
+       if (f==NULL)
+       {
+               return 0;
+       }
+       
+       while (!feof(f))
+       {
+               CvBox2D box;
+               fscanf(f,"%f,%f,%f,%f,%f\n",&box.angle,&box.center.x,&box.center.y,&box.size.width,&box.size.height);
+               boxes.push_back(box);
+       }
+       fclose(f);
+       return 1;
+}
+
+int CV_MserTest::SaveBoxes(const char* path, const vector<CvBox2D>& boxes)
+{
+       FILE* f = fopen(path,"w");
+       if (f==NULL)
+       {
+               return 0;
+       }
+       for (int i=0;i<(int)boxes.size();i++)
+       {
+               fprintf(f,"%f,%f,%f,%f,%f\n",boxes[i].angle,boxes[i].center.x,boxes[i].center.y,boxes[i].size.width,boxes[i].size.height);
+       }
+       fclose(f);
+       return 1;
+}
+
+int CV_MserTest::CompareBoxes(const vector<CvBox2D>& boxes1,const vector<CvBox2D>& boxes2, float max_rel_diff)
+{
+       if (boxes1.size() != boxes2.size())
+               return 0;
+
+       for (int i=0; i<(int)boxes1.size();i++)
+       {
+               float rel_diff;
+               if (!((boxes1[i].angle == 0.0f) && (abs(boxes2[i].angle) < max_rel_diff)))
+               {
+                       rel_diff = abs(boxes1[i].angle-boxes2[i].angle)/abs(boxes1[i].angle);
+                       if (rel_diff > max_rel_diff)
+                               return i;
+               }
+
+               if (!((boxes1[i].center.x == 0.0f) && (abs(boxes2[i].center.x) < max_rel_diff)))
+               {
+                       rel_diff = abs(boxes1[i].center.x-boxes2[i].center.x)/abs(boxes1[i].center.x);
+                       if (rel_diff > max_rel_diff)
+                               return i;
+               }
+
+               if (!((boxes1[i].center.y == 0.0f) && (abs(boxes2[i].center.y) < max_rel_diff)))
+               {
+                       rel_diff = abs(boxes1[i].center.y-boxes2[i].center.y)/abs(boxes1[i].center.y);
+                       if (rel_diff > max_rel_diff)
+                               return i;
+               }
+               if (!((boxes1[i].size.width == 0.0f) && (abs(boxes2[i].size.width) < max_rel_diff)))
+               {
+                       rel_diff = abs(boxes1[i].size.width-boxes2[i].size.width)/abs(boxes1[i].size.width);
+                       if (rel_diff > max_rel_diff)
+                       return i;
+               }
+
+               if (!((boxes1[i].size.height == 0.0f) && (abs(boxes2[i].size.height) < max_rel_diff)))
+               {
+                       rel_diff = abs(boxes1[i].size.height-boxes2[i].size.height)/abs(boxes1[i].size.height);
+                       if (rel_diff > max_rel_diff)
+                               return i;
+               }
+       }
+
+       return -1;
+}
+
+void CV_MserTest::run(int)
+{
+       string image_path = string(ts->get_data_path()) + "mser/puzzle.png";
+
+       IplImage* img = cvLoadImage( image_path.c_str());
+       if (!img)
+       {
+               ts->printf( CvTS::LOG, "Unable to open image mser/puzzle.png\n");
+               ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA);
+               return;
+       }
+
+       CvSeq* contours;
+       CvMemStorage* storage= cvCreateMemStorage();
+       IplImage* hsv = cvCreateImage( cvGetSize( img ), IPL_DEPTH_8U, 3 );
+       cvCvtColor( img, hsv, CV_BGR2YCrCb );
+       CvMSERParams params = cvMSERParams();//cvMSERParams( 5, 60, cvRound(.2*img->width*img->height), .25, .2 );
+       cvExtractMSER( hsv, NULL, &contours, storage, params );
+
+       vector<CvBox2D> boxes;
+       vector<CvBox2D> boxes_orig;
+       for ( int i = 0; i < contours->total; i++ )
+       {
+               CvContour* r = *(CvContour**)cvGetSeqElem( contours, i );
+               CvBox2D box = cvFitEllipse2( r );
+               box.angle=(float)CV_PI/2-box.angle;
+               boxes.push_back(box);                   
+       }
+
+       string boxes_path = string(ts->get_data_path()) + "mser/boxes.txt";
+       
+       if (!LoadBoxes(boxes_path.c_str(),boxes_orig))
+       {
+               SaveBoxes(boxes_path.c_str(),boxes);
+               ts->printf( CvTS::LOG, "Unable to open data file mser/boxes.txt\n");
+               ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA);
+               return;
+       }
+
+       const float dissimularity = 0.01f;
+       int n_box = CompareBoxes(boxes_orig,boxes,dissimularity);
+       if (n_box < 0)
+       {
+               ts->set_failed_test_info(CvTS::OK);
+       }
+       else
+       {
+               ts->set_failed_test_info(CvTS::FAIL_BAD_ACCURACY);
+               ts->printf( CvTS::LOG, "Incorrect correspondence in %d box\n",n_box);
+       }
+
+       cvReleaseMemStorage(&storage);
+       cvReleaseImage(&hsv);
+       cvReleaseImage(&img);
+}
+
+CV_MserTest mser_test;
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