162 lines
		
	
	
		
			7.1 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			162 lines
		
	
	
		
			7.1 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| /*M///////////////////////////////////////////////////////////////////////////////////////
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| //
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| //  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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| //
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| //  By downloading, copying, installing or using the software you agree to this license.
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| //  If you do not agree to this license, do not download, install,
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| //  copy or use the software.
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| //
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| //
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| //                           License Agreement
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| //                For Open Source Computer Vision Library
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| //
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| // Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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| // Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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| // Third party copyrights are property of their respective owners.
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| //
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| // Redistribution and use in source and binary forms, with or without modification,
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| // are permitted provided that the following conditions are met:
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| //
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| //   * Redistribution's of source code must retain the above copyright notice,
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| //     this list of conditions and the following disclaimer.
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| //
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| //   * Redistribution's in binary form must reproduce the above copyright notice,
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| //     this list of conditions and the following disclaimer in the documentation
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| //     and/or other materials provided with the distribution.
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| //
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| //   * The name of the copyright holders may not be used to endorse or promote products
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| //     derived from this software without specific prior written permission.
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| //
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| // This software is provided by the copyright holders and contributors "as is" and
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| // any express or implied warranties, including, but not limited to, the implied
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| // warranties of merchantability and fitness for a particular purpose are disclaimed.
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| // In no event shall the Intel Corporation or contributors be liable for any direct,
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| // indirect, incidental, special, exemplary, or consequential damages
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| // (including, but not limited to, procurement of substitute goods or services;
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| // loss of use, data, or profits; or business interruption) however caused
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| // and on any theory of liability, whether in contract, strict liability,
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| // or tort (including negligence or otherwise) arising in any way out of
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| // the use of this software, even if advised of the possibility of such damage.
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| //
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| //M*/
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| 
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| #include "test_precomp.hpp"
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| #include "opencv2/highgui.hpp"
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| 
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| #include <vector>
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| #include <string>
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| using namespace std;
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| using namespace cv;
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| 
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| #undef RENDER_MSERS
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| #define RENDER_MSERS 0
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| 
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| #if defined RENDER_MSERS && RENDER_MSERS
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| static void renderMSERs(const Mat& gray, Mat& img, const vector<vector<Point> >& msers)
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| {
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|     cvtColor(gray, img, COLOR_GRAY2BGR);
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|     RNG rng((uint64)1749583);
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|     for( int i = 0; i < (int)msers.size(); i++ )
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|     {
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|         uchar b = rng.uniform(0, 256);
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|         uchar g = rng.uniform(0, 256);
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|         uchar r = rng.uniform(0, 256);
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|         Vec3b color(b, g, r);
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| 
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|         const Point* pt = &msers[i][0];
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|         size_t j, n = msers[i].size();
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|         for( j = 0; j < n; j++ )
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|             img.at<Vec3b>(pt[j]) = color;
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|     }
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| }
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| #endif
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| 
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| TEST(Features2d_MSER, cases)
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| {
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|     uchar buf[] =
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|     {
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|          255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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|          255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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|          255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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|          255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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|          255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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|          255, 255, 255, 255, 255,   0,   0,   0,   0, 255, 255, 255, 255, 255, 255, 255, 255, 255,   0,   0,   0,   0, 255, 255, 255, 255,
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|          255, 255, 255, 255, 255,   0,   0,   0,   0,   0, 255, 255, 255, 255, 255, 255, 255, 255,   0,   0,   0,   0, 255, 255, 255, 255,
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|          255, 255, 255, 255, 255,   0,   0,   0,   0,   0, 255, 255, 255, 255, 255, 255, 255, 255,   0,   0,   0,   0, 255, 255, 255, 255,
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|          255, 255, 255, 255, 255,   0,   0,   0,   0, 255, 255, 255, 255, 255, 255, 255, 255, 255,   0,   0,   0,   0, 255, 255, 255, 255,
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|          255, 255, 255, 255, 255, 255,   0,   0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,   0,   0, 255, 255, 255, 255, 255,
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|          255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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|          255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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|          255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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|          255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255
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|     };
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|     Mat big_image = imread(cvtest::TS::ptr()->get_data_path() + "mser/puzzle.png", 0);
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|     Mat small_image(14, 26, CV_8U, buf);
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|     static const int thresharr[] = { 0, 70, 120, 180, 255 };
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| 
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|     const int kDelta = 5;
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|     Ptr<MSER> mserExtractor = MSER::create( kDelta );
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|     vector<vector<Point> > msers;
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|     vector<Rect> boxes;
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| 
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|     RNG rng((uint64)123456);
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| 
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|     for( int i = 0; i < 100; i++ )
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|     {
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|         bool use_big_image = rng.uniform(0, 7) != 0;
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|         bool invert = rng.uniform(0, 2) != 0;
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|         bool binarize = use_big_image ? rng.uniform(0, 5) != 0 : false;
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|         bool blur = rng.uniform(0, 2) != 0;
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|         int thresh = thresharr[rng.uniform(0, 5)];
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| 
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|         /*if( i == 0 )
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|         {
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|             use_big_image = true;
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|             invert = binarize = blur = false;
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|         }*/
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| 
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|         const Mat& src0 = use_big_image ? big_image : small_image;
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|         Mat src = src0.clone();
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| 
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|         int kMinArea = use_big_image ? 256 : 10;
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|         int kMaxArea = (int)src.total()/4;
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| 
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|         mserExtractor->setMinArea(kMinArea);
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|         mserExtractor->setMaxArea(kMaxArea);
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| 
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|         if( invert )
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|             bitwise_not(src, src);
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|         if( binarize )
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|             threshold(src, src, thresh, 255, THRESH_BINARY);
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|         if( blur )
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|             GaussianBlur(src, src, Size(5, 5), 1.5, 1.5);
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| 
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|         int minRegs = use_big_image ? 7 : 2;
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|         int maxRegs = use_big_image ? 1000 : 15;
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|         if( binarize && (thresh == 0 || thresh == 255) )
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|             minRegs = maxRegs = 0;
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| 
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|         mserExtractor->detectRegions( src, msers, boxes );
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|         int nmsers = (int)msers.size();
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|         ASSERT_EQ(nmsers, (int)boxes.size());
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| 
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|         if( maxRegs < nmsers || minRegs > nmsers )
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|         {
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|             printf("%d. minArea=%d, maxArea=%d, nmsers=%d, minRegs=%d, maxRegs=%d, "
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|                    "image=%s, invert=%d, binarize=%d, thresh=%d, blur=%d\n",
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|                    i, kMinArea, kMaxArea, nmsers, minRegs, maxRegs, use_big_image ? "big" : "small",
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|                    (int)invert, (int)binarize, thresh, (int)blur);
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|     #if defined RENDER_MSERS && RENDER_MSERS
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|             Mat image;
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|             imshow("source", src);
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|             renderMSERs(src, image, msers);
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|             imshow("result", image);
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|             waitKey();
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|     #endif
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|         }
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| 
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|         ASSERT_LE(minRegs, nmsers);
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|         ASSERT_GE(maxRegs, nmsers);
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|     }
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| }
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