An example how to use features2d for MSER. Data results are visualized in 3D using...
authorlaurentBerger <laurent.berger@univ-lemans.fr>
Sat, 16 May 2015 16:59:22 +0000 (18:59 +0200)
committerlaurentBerger <laurent.berger@univ-lemans.fr>
Sat, 16 May 2015 16:59:22 +0000 (18:59 +0200)
samples/cpp/BLOB_MSER.cpp [deleted file]
samples/cpp/detect_mser.cpp [new file with mode: 0644]

diff --git a/samples/cpp/BLOB_MSER.cpp b/samples/cpp/BLOB_MSER.cpp
deleted file mode 100644 (file)
index 37c0023..0000000
+++ /dev/null
@@ -1,571 +0,0 @@
-#include <opencv2/opencv.hpp>
-#include "opencv2/core/opengl.hpp"
-
-#include <vector>
-#include <map>
-#include <iostream>
-#ifdef WIN32
-#define WIN32_LEAN_AND_MEAN 1
-#define NOMINMAX 1
-#include <windows.h>
-#endif
-#if defined(_WIN64)
-#include <windows.h>
-#endif
-
-#if defined(__APPLE__)
-#include <OpenGL/gl.h>
-#include <OpenGL/glu.h>
-#else
-#include <GL/gl.h>
-#include <GL/glu.h>
-#endif
-
-using namespace std;
-using namespace cv;
-
-
-void Example_MSER(vector<String> &fileName);
-
-static void help()
-{
-    cout << "\n This program demonstrates how to use BLOB and MSER to detect region \n"
-        "Usage: \n"
-        "  ./BLOB_MSER <image1(../data/forme2.jpg as default)>\n"
-        "Press a key when image window is active to change descriptor";
-}
-
-struct MSERParams
-    {
-    MSERParams(int _delta = 5, int _min_area = 60, int _max_area = 14400,
-    double _max_variation = 0.25, double _min_diversity = .2,
-    int _max_evolution = 200, double _area_threshold = 1.01,
-    double _min_margin = 0.003, int _edge_blur_size = 5)
-        {
-        delta = _delta;
-        minArea = _min_area;
-        maxArea = _max_area;
-        maxVariation = _max_variation;
-        minDiversity = _min_diversity;
-        maxEvolution = _max_evolution;
-        areaThreshold = _area_threshold;
-        minMargin = _min_margin;
-        edgeBlurSize = _edge_blur_size;
-        pass2Only = false;
-        }
-
-    int delta;
-    int minArea;
-    int maxArea;
-    double maxVariation;
-    double minDiversity;
-    bool pass2Only;
-
-    int maxEvolution;
-    double areaThreshold;
-    double minMargin;
-    int edgeBlurSize;
-    };
-
-String Legende(SimpleBlobDetector::Params &pAct)
-{
-    String s="";
-    if (pAct.filterByArea)
-        {
-        String inf = static_cast<ostringstream*>(&(ostringstream() << pAct.minArea))->str();
-        String sup = static_cast<ostringstream*>(&(ostringstream() << pAct.maxArea))->str();
-        s = " Area range [" + inf + " to  " + sup + "]";
-        }
-    if (pAct.filterByCircularity)
-        {
-        String inf = static_cast<ostringstream*>(&(ostringstream() << pAct.minCircularity))->str();
-        String sup = static_cast<ostringstream*>(&(ostringstream() << pAct.maxCircularity))->str();
-        if (s.length()==0)
-            s = " Circularity range [" + inf + " to  " + sup + "]";
-        else
-            s += " AND Circularity range [" + inf + " to  " + sup + "]";
-        }
-    if (pAct.filterByColor)
-        {
-        String inf = static_cast<ostringstream*>(&(ostringstream() << (int)pAct.blobColor))->str();
-        if (s.length() == 0)
-            s = " Blob color " + inf;
-        else
-            s += " AND Blob color " + inf;
-        }
-    if (pAct.filterByConvexity)
-        {
-        String inf = static_cast<ostringstream*>(&(ostringstream() << pAct.minConvexity))->str();
-        String sup = static_cast<ostringstream*>(&(ostringstream() << pAct.maxConvexity))->str();
-        if (s.length() == 0)
-            s = " Convexity range[" + inf + " to  " + sup + "]";
-        else
-            s += " AND  Convexity range[" + inf + " to  " + sup + "]";
-        }
-    if (pAct.filterByInertia)
-        {
-        String inf = static_cast<ostringstream*>(&(ostringstream() << pAct.minInertiaRatio))->str();
-        String sup = static_cast<ostringstream*>(&(ostringstream() << pAct.maxInertiaRatio))->str();
-        if (s.length() == 0)
-            s = " Inertia ratio range [" + inf + " to  " + sup + "]";
-        else
-            s += " AND  Inertia ratio range [" + inf + " to  " + sup + "]";
-        }
-    return s;
-}
-
-
-const int win_width = 800;
-const int win_height = 640;
-
-struct DrawData
-    {
-    ogl::Arrays arr;
-    ogl::Texture2D tex;
-    ogl::Buffer indices;
-    };
-
-void draw(void* userdata);
-
-void draw(void* userdata)
-    {
-    DrawData* data = static_cast<DrawData*>(userdata);
-
-    glRotated(0.6, 0, 1, 0);
-
-    ogl::render(data->arr, data->indices, ogl::TRIANGLES);
-    }
-
-int main(int argc, char *argv[])
-{
-
-Mat imgcol = imread("../data/lena.jpg");
-namedWindow("OpenGL", WINDOW_OPENGL);
-//resizeWindow("OpenGL", win_width, win_height);
-
-Mat_<Vec3f> vertex(1, 4);
-vertex << Vec3f(-1, 1,0), Vec3f(-1, -1,0), Vec3f(1, -1,1), Vec3f(1, 1,-1);
-
-Mat_<Vec2f> texCoords(1, 4);
-texCoords << Vec2f(0, 0), Vec2f(0, 1), Vec2f(1, 1), Vec2f(1, 0);
-
-Mat_<int> indices(1, 6);
-indices << 0, 1, 2,2, 3, 0;
-
-DrawData *data = new DrawData;
-
-data->arr.setVertexArray(vertex);
-data->arr.setTexCoordArray(texCoords);
-data->indices.copyFrom(indices);
-data->tex.copyFrom(imgcol);
-
-glMatrixMode(GL_PROJECTION);
-glLoadIdentity();
-gluPerspective(45.0, (double)win_width / win_height, 0.1, 100.0);
-
-glMatrixMode(GL_MODELVIEW);
-glLoadIdentity();
-gluLookAt(0, 0, 3, 0, 0, 0, 0, 1, 0);
-
-glEnable(GL_TEXTURE_2D);
-data->tex.bind();
-
-glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_LINEAR);
-glTexEnvi(GL_TEXTURE_2D, GL_TEXTURE_ENV_MODE, GL_REPLACE);
-
-glDisable(GL_CULL_FACE);
-
-setOpenGlDrawCallback("OpenGL", draw, data);
-
-for (;;)
-    {
-    updateWindow("OpenGL");
-    int key = waitKey(40);
-    if ((key & 0xff) == 27)
-        break;
-    }
-
-setOpenGlDrawCallback("OpenGL", 0, 0);
-destroyAllWindows();
-
-
-
-
-
-
-    vector<String> fileName;
-    Example_MSER(fileName);
-    Mat img(600,800,CV_8UC1);
-    if (argc == 1)
-    {
-        fileName.push_back("../data/BLOB_MSER.bmp");
-    }
-    else if (argc == 2)
-        {
-        fileName.push_back(argv[1]);
-        }
-    else
-        {
-        help();
-        return(0);
-        }
-    img = imread(fileName[0], IMREAD_UNCHANGED);
-    if (img.rows*img.cols <= 0)
-        {
-        cout << "Image " << fileName[0] << " is empty or cannot be found\n";
-        return(0);
-        }
-
-    SimpleBlobDetector::Params pDefaultBLOB;
-    MSERParams pDefaultMSER;
-    // This is default parameters for SimpleBlobDetector
-    pDefaultBLOB.thresholdStep = 10;
-    pDefaultBLOB.minThreshold = 10;
-    pDefaultBLOB.maxThreshold = 220;
-    pDefaultBLOB.minRepeatability = 2;
-    pDefaultBLOB.minDistBetweenBlobs = 10;
-    pDefaultBLOB.filterByColor = false;
-    pDefaultBLOB.blobColor = 0;
-    pDefaultBLOB.filterByArea = false;
-    pDefaultBLOB.minArea = 25;
-    pDefaultBLOB.maxArea = 5000;
-    pDefaultBLOB.filterByCircularity = false;
-    pDefaultBLOB.minCircularity = 0.9f;
-    pDefaultBLOB.maxCircularity = std::numeric_limits<float>::max();
-    pDefaultBLOB.filterByInertia = false;
-    pDefaultBLOB.minInertiaRatio = 0.1f;
-    pDefaultBLOB.maxInertiaRatio = std::numeric_limits<float>::max();
-    pDefaultBLOB.filterByConvexity = false;
-    pDefaultBLOB.minConvexity = 0.95f;
-    pDefaultBLOB.maxConvexity = std::numeric_limits<float>::max();
-    // Descriptor array (BLOB or MSER)
-    vector<String> typeDesc;
-    // Param array for BLOB
-    vector<SimpleBlobDetector::Params> pBLOB;
-    vector<SimpleBlobDetector::Params>::iterator itBLOB;
-    // Param array for MSER
-    vector<MSERParams> pMSER;
-    vector<MSERParams>::iterator itMSER;
-
-    // Color palette
-    vector<Vec3b>  palette;
-    for (int i=0;i<65536;i++)
-        palette.push_back(Vec3b((uchar)rand(), (uchar)rand(), (uchar)rand()));
-    help();
-
-/*    typeDesc.push_back("MSER");
-    pMSER.push_back(pDefaultMSER);
-    pMSER.back().delta = 1;
-    pMSER.back().minArea = 1;
-    pMSER.back().maxArea = 180000;
-    pMSER.back().maxVariation= 500;
-    pMSER.back().minDiversity = 0;
-    pMSER.back().pass2Only = false;*/
-    typeDesc.push_back("BLOB");
-    pBLOB.push_back(pDefaultBLOB);
-    pBLOB.back().filterByColor = true;
-    pBLOB.back().blobColor = 0;
-
-    // This descriptor are going to be detect and compute 4 BLOBS with 4 differents params
-    // Param for first BLOB detector we want all
-    typeDesc.push_back("BLOB");    // see http://docs.opencv.org/trunk/d0/d7a/classcv_1_1SimpleBlobDetector.html
-    pBLOB.push_back(pDefaultBLOB);
-    pBLOB.back().filterByArea = true;
-    pBLOB.back().minArea = 1;
-    pBLOB.back().maxArea = int(img.rows*img.cols);
-    // Param for second BLOB detector we want area between 500 and 2900 pixels
-    typeDesc.push_back("BLOB");
-    pBLOB.push_back(pDefaultBLOB);
-    pBLOB.back().filterByArea = true;
-    pBLOB.back().minArea = 500;
-    pBLOB.back().maxArea = 2900;
-    // Param for third BLOB detector we want only circular object
-    typeDesc.push_back("BLOB");    
-    pBLOB.push_back(pDefaultBLOB);
-    pBLOB.back().filterByCircularity = true;
-    // Param for Fourth BLOB detector we want ratio inertia
-    typeDesc.push_back("BLOB");
-    pBLOB.push_back(pDefaultBLOB);
-    pBLOB.back().filterByInertia = true;
-    pBLOB.back().minInertiaRatio = 0;
-    pBLOB.back().maxInertiaRatio = (float)0.2;
-    // Param for Fourth BLOB detector we want ratio inertia
-    typeDesc.push_back("BLOB");
-    pBLOB.push_back(pDefaultBLOB);
-    pBLOB.back().filterByConvexity = true;
-    pBLOB.back().minConvexity = 0.;
-    pBLOB.back().maxConvexity = (float)0.9;
-
-
-    itBLOB = pBLOB.begin();
-    itMSER = pMSER.begin();
-    vector<double> desMethCmp;
-    Ptr<Feature2D> b;
-    String label;
-    // Descriptor loop
-    vector<String>::iterator itDesc;
-    for (itDesc = typeDesc.begin(); itDesc != typeDesc.end(); itDesc++)
-    {
-        vector<KeyPoint> keyImg1;
-        if (*itDesc == "BLOB"){
-            b = SimpleBlobDetector::create(*itBLOB);
-            label=Legende(*itBLOB);
-
-            itBLOB++;
-        }
-        if (*itDesc == "MSER"){
-            if(img.type()==CV_8UC3)
-            {
-                b = MSER::create(itMSER->delta, itMSER->minArea, itMSER->maxArea, itMSER->maxVariation, itMSER->minDiversity, itMSER->maxEvolution,
-                                itMSER->areaThreshold, itMSER->minMargin, itMSER->edgeBlurSize);
-                b.dynamicCast<MSER>()->setPass2Only(itMSER->pass2Only);
-            }
-            else
-            {
-                b = MSER::create(itMSER->delta, itMSER->minArea, itMSER->maxArea, itMSER->maxVariation, itMSER->minDiversity);
-            }
-            //b = MSER::create();
-            //b = MSER::create();
-            }
-        try {
-            // We can detect keypoint with detect method
-            vector<KeyPoint>  keyImg;
-            vector<Rect>  zone;
-            vector<vector <Point>>  region;
-            Mat     desc, result(img.rows,img.cols,CV_8UC3);
-                
-
-            if (b.dynamicCast<SimpleBlobDetector>() != NULL)
-            {
-                Ptr<SimpleBlobDetector> sbd = b.dynamicCast<SimpleBlobDetector>();
-                sbd->detect(img, keyImg, Mat());
-                drawKeypoints(img,keyImg,result);
-                int i=0;
-                for (vector<KeyPoint>::iterator k=keyImg.begin();k!=keyImg.end();k++,i++)
-                    circle(result,k->pt,k->size,palette[i%65536]);
-            }
-            if (b.dynamicCast<MSER>() != NULL)
-            {
-                Ptr<MSER> sbd = b.dynamicCast<MSER>();
-                sbd->detectRegions(img, region, zone);
-                int i = 0;
-                result=Scalar(0,0,0);
-                for (vector<Rect>::iterator r = zone.begin(); r != zone.end();r++,i++)
-                {
-                    // we draw a white rectangle which include all region pixels
-                    rectangle(result, *r, Vec3b(255, 0, 0), 2);
-                }
-                i=0;
-                for (vector<vector <Point>>::iterator itr = region.begin(); itr != region.end(); itr++, i++)
-                {
-                    for (vector <Point>::iterator itp = region[i].begin(); itp != region[i].end(); itp++)
-                    {
-                        // all pixels belonging to region are red
-                        result.at<Vec3b>(itp->y, itp->x) = Vec3b(0,0,128);
-                    }
-                }
-            }
-            namedWindow(*itDesc+label , WINDOW_AUTOSIZE);
-            imshow(*itDesc + label, result);
-            imshow("Original", img);
-            FileStorage fs(*itDesc + "_" + fileName[0] + ".xml", FileStorage::WRITE);
-            fs<<*itDesc<<keyImg;
-                waitKey();
-        }
-        catch (Exception& e)
-        {
-            cout << "Feature : " << *itDesc << "\n";
-            cout<<e.msg<<endl;
-        }
-    }
-    return 0;
-}
-
-
-
-
-void Example_MSER(vector<String> &fileName)
-{
-    Mat img(800, 800, CV_8UC1);
-    fileName.push_back("SyntheticImage.bmp");
-    map<int, char> val;
-    int fond = 0;
-    img = Scalar(fond);
-    val[fond] = 1;
-    int width1[]={390,380,300,290,280,270,260,250,210,190,150,100, 80,70};
-    int color1[]={ 80,180,160,140,120,100, 90,110,170,150,140,100,220};
-    Point p0(10, 10);
-    int *width,*color;
-
-    width = width1;
-    color = color1;
-    for (int i = 0; i<13; i++)
-        {
-        rectangle(img, Rect(p0, Size(width[i], width[i])), Scalar(color[i]), 1);
-        p0 += Point((width[i] - width[i + 1]) / 2, (width[i] - width[i + 1]) / 2);
-        floodFill(img, p0, Scalar(color[i]));
-
-        }
-    p0 = Point(200, 600);
-    for (int i = 0; i<13; i++)
-        {
-        circle(img, p0, width[i] / 2, Scalar(color[i]), 1);
-        floodFill(img, p0, Scalar(color[i]));
-
-        }
-    for (int i = 0; i<13; i++)
-        color1[i] =  255 - color1[i];
-    p0 = Point(410, 10);
-    for (int i = 0; i<13; i++)
-        {
-        rectangle(img, Rect(p0, Size(width[i], width[i])), Scalar(color[i]), 1);
-        p0 += Point((width[i] - width[i + 1]) / 2, (width[i] - width[i + 1]) / 2);
-        floodFill(img, p0, Scalar(color[i]));
-
-        }
-
-    p0 = Point(600, 600);
-    for (int i = 0; i<13; i++)
-        {
-        circle(img, p0, width[i]/2,Scalar(color[i]), 1);
-        floodFill(img, p0 , Scalar(color[i]));
-
-        }
-
-
-
-
-
-
-    int channel = 1;
-    int histSize =  256 ;
-    float range[] = { 0, 256 };
-    const float* histRange[] = { range };
-    Mat hist;
-    // we compute the histogram from the 0-th and 1-st channels
-
-    calcHist(&img, 1, 0, Mat(), hist, 1, &histSize, histRange, true, false);
-    Mat cumHist(hist.size(), hist.type());
-    cumHist.at<float>(0, 0) = hist.at<float>(0, 0);
-    for (int i = 1; i < hist.rows; i++)
-        cumHist.at<float>(i, 0) = cumHist.at<float>(i - 1, 0) + hist.at<float>(i, 0);
-    imwrite(fileName[0], img);
-    cout << "****************Maximal region************************\n";
-    cout << "i\th\t\tsh\t\tq\n";
-    cout << 0 << "\t" << hist.at<float>(0, 0) << "\t\t" << cumHist.at<float>(0, 0) << "\t\t\n";
-    for (int i = 1; i < hist.rows-1 ; i++)
-        {
-        if (cumHist.at<float>(i, 0)>0)
-            {
-            cout << i << "\t" << hist.at<float>(i, 0) << "\t\t" << cumHist.at<float>(i, 0) << "\t\t" << (cumHist.at<float>(i + 1, 0) - cumHist.at<float>(i, 0)) / cumHist.at<float>(i, 0);
-            }
-        else
-            cout << i << "\t" << hist.at<float>(i, 0) << "\t\t" << cumHist.at<float>(i, 0) << "\t\t";
-        cout << endl;
-        }
-    cout << 255 << "\t" << hist.at<float>(255, 0) << "\t\t" << cumHist.at<float>(255, 0) << "\t\t\n";
-    cout << "****************Minimal region************************\n";
-    cumHist.at<float>(255, 0) = hist.at<float>(255, 0);
-    for (int i = 254; i >= 0; i--)
-        cumHist.at<float>(i, 0) = cumHist.at<float>(i + 1, 0) + hist.at<float>(i, 0);
-    cout << "Minimal region\ni\th\t\tsh\t\tq\n";
-    cout << 255-255 << "\t" << hist.at<float>(255, 0) << "\t\t" << cumHist.at<float>(255, 0) << "\t\t\n";
-    for (int i = 254; i>=0; i--)
-        {
-        if (cumHist.at<float>(i, 0)>0)
-            {
-            cout << 255 - i << "\t" << i << "\t" << hist.at<float>(i, 0) << "\t\t" << cumHist.at<float>(i, 0) << "\t\t" << (cumHist.at<float>(i + 1, 0) - cumHist.at<float>(i, 0)) / cumHist.at<float>(i, 0);
-            }
-        else
-            cout << 255 - i << "\t" << i << "\t" << hist.at<float>(i, 0) << "\t\t" << cumHist.at<float>(i, 0) << "\t\t";
-        cout << endl;
-        }
-    // img = imread("C:/Users/laurent_2/Pictures/basketball1.png", IMREAD_GRAYSCALE);
-
-    MSERParams pDefaultMSER;
-    // Descriptor array (BLOB or MSER)
-    vector<String> typeDesc;
-    // Param array for BLOB
-    // Param array for MSER
-    vector<MSERParams> pMSER;
-    vector<MSERParams>::iterator itMSER;
-
-    // Color palette
-    vector<Vec3b>  palette;
-    for (int i = 0; i<65536; i++)
-        palette.push_back(Vec3b((uchar)rand(), (uchar)rand(), (uchar)rand()));
-    help();
-
-    typeDesc.push_back("MSER");
-    pMSER.push_back(pDefaultMSER);
-    pMSER.back().delta = 1000;
-    pMSER.back().minArea = 1;
-    pMSER.back().maxArea = 180000;
-    pMSER.back().maxVariation = 1.701;
-    pMSER.back().minDiversity = 0;
-    pMSER.back().pass2Only = true;
-    itMSER = pMSER.begin();
-    vector<double> desMethCmp;
-    Ptr<Feature2D> b;
-    String label;
-    // Descriptor loop
-    vector<String>::iterator itDesc;
-    for (itDesc = typeDesc.begin(); itDesc != typeDesc.end(); itDesc++)
-        {
-        vector<KeyPoint> keyImg1;
-        if (*itDesc == "MSER"){
-            if (img.type() == CV_8UC3)
-                {
-                b = MSER::create(itMSER->delta, itMSER->minArea, itMSER->maxArea, itMSER->maxVariation, itMSER->minDiversity, itMSER->maxEvolution,
-                                 itMSER->areaThreshold, itMSER->minMargin, itMSER->edgeBlurSize);
-                }
-            else
-                {
-                b = MSER::create(itMSER->delta, itMSER->minArea, itMSER->maxArea, itMSER->maxVariation, itMSER->minDiversity);
-                b.dynamicCast<MSER>()->setPass2Only(itMSER->pass2Only);
-                }
-            }
-        try {
-            // We can detect keypoint with detect method
-            vector<KeyPoint>  keyImg;
-            vector<Rect>  zone;
-            vector<vector <Point>>  region;
-            Mat     desc, result(img.rows, img.cols, CV_8UC3);
-            int nb = img.channels();
-
-            if (b.dynamicCast<MSER>() != NULL)
-                {
-                Ptr<MSER> sbd = b.dynamicCast<MSER>();
-                sbd->detectRegions(img, region, zone);
-                int i = 0;
-                result = Scalar(0, 0, 0);
-                for (vector<vector <Point>>::iterator itr = region.begin(); itr != region.end(); itr++, i++)
-                {
-                    for (vector <Point>::iterator itp = region[i].begin(); itp != region[i].end(); itp+=2)
-                    {
-                        // all pixels belonging to region are red
-                        result.at<Vec3b>(itp->y, itp->x) = Vec3b(0, 0, 128);
-                    }
-                }
-                i = 0;
-                 for (vector<Rect>::iterator r = zone.begin(); r != zone.end(); r++, i++)
-                {
-                    // we draw a white rectangle which include all region pixels
-                    rectangle(result, *r, Vec3b(255, 0, 0), 2);
-                }
-               }
-            namedWindow(*itDesc + label, WINDOW_AUTOSIZE);
-            imshow(*itDesc + label, result);
-            imshow("Original", img);
-            FileStorage fs(*itDesc + "_" + fileName[0] + ".xml", FileStorage::WRITE);
-            fs << *itDesc << keyImg;
-            waitKey();
-            }
-        catch (Exception& e)
-            {
-            cout << "Feature : " << *itDesc << "\n";
-            cout << e.msg << endl;
-            }
-        }
-    return;
-    }
diff --git a/samples/cpp/detect_mser.cpp b/samples/cpp/detect_mser.cpp
new file mode 100644 (file)
index 0000000..934817d
--- /dev/null
@@ -0,0 +1,524 @@
+#include <opencv2/opencv.hpp>
+#include "opencv2/core/opengl.hpp"
+
+#include <vector>
+#include <map>
+#include <iostream>
+#ifdef WIN32
+#define WIN32_LEAN_AND_MEAN 1
+#define NOMINMAX 1
+#include <windows.h>
+#endif
+#if defined(_WIN64)
+#include <windows.h>
+#endif
+
+#if defined(__APPLE__)
+#include <OpenGL/gl.h>
+#include <OpenGL/glu.h>
+#else
+#include <GL/gl.h>
+#include <GL/glu.h>
+#endif
+
+
+
+using namespace std;
+using namespace cv;
+
+
+static void help()
+{
+    cout << "\n This program demonstrates how to use MSER to detect extremal regions \n"
+        "Usage: \n"
+        "  ./detect_mser <image1(without parameter a syntehtic image is used as default)>\n"
+        "Press esc key when image window is active to change  descriptor parameter\n";
+        "Press 2, 8, 4, 6, +,- or 5 keys in openGL windows to change view or use mouse\n";
+    }
+
+struct MSERParams
+{
+    MSERParams(int _delta = 5, int _min_area = 60, int _max_area = 14400,
+    double _max_variation = 0.25, double _min_diversity = .2,
+    int _max_evolution = 200, double _area_threshold = 1.01,
+    double _min_margin = 0.003, int _edge_blur_size = 5)
+        {
+        delta = _delta;
+        minArea = _min_area;
+        maxArea = _max_area;
+        maxVariation = _max_variation;
+        minDiversity = _min_diversity;
+        maxEvolution = _max_evolution;
+        areaThreshold = _area_threshold;
+        minMargin = _min_margin;
+        edgeBlurSize = _edge_blur_size;
+        pass2Only = false;
+        }
+
+    int delta;
+    int minArea;
+    int maxArea;
+    double maxVariation;
+    double minDiversity;
+    bool pass2Only;
+
+    int maxEvolution;
+    double areaThreshold;
+    double minMargin;
+    int edgeBlurSize;
+};
+
+String Legende(MSERParams &pAct)
+{
+    String s="";
+    String inf = static_cast<ostringstream*>(&(ostringstream() << pAct.minArea))->str();
+    String sup = static_cast<ostringstream*>(&(ostringstream() << pAct.maxArea))->str();
+    s = " Area[" + inf + "," + sup + "]";
+
+    inf = static_cast<ostringstream*>(&(ostringstream() << pAct.delta))->str();
+    s += " del. [" + inf + "]";
+    inf = static_cast<ostringstream*>(&(ostringstream() << pAct.maxVariation))->str();
+    s += " var. [" + inf + "]";
+    inf = static_cast<ostringstream*>(&(ostringstream() << (int)pAct.minDiversity))->str();
+    s += " div. [" + inf + "]";
+    inf = static_cast<ostringstream*>(&(ostringstream() << (int)pAct.pass2Only))->str();
+    s += " pas. [" + inf + "]";
+    inf = static_cast<ostringstream*>(&(ostringstream() << (int)pAct.maxEvolution))->str();
+    s += "RGb-> evo. [" + inf + "]";
+    inf = static_cast<ostringstream*>(&(ostringstream() << (int)pAct.areaThreshold))->str();
+    s += " are. [" + inf + "]";
+    inf = static_cast<ostringstream*>(&(ostringstream() << (int)pAct.minMargin))->str();
+    s += " mar. [" + inf + "]";
+    inf = static_cast<ostringstream*>(&(ostringstream() << (int)pAct.edgeBlurSize))->str();
+    s += " siz. [" + inf + "]";
+    return s;
+}
+
+
+const int win_width = 800;
+const int win_height = 640;
+bool    rotateEnable=true;
+bool    keyPressed=false;
+
+Vec4f   rotAxis(1,0,1,0);
+Vec3f  zoom(1,0,0);
+
+float  obsX = (float)0, obsY = (float)0, obsZ = (float)-10, tx = (float)0, ty = (float)0;
+float  thetaObs = (float)-1.570, phiObs = (float)1.570, rObs = (float)10;
+int prevX=-1,prevY=-1,prevTheta=-1000,prevPhi=-1000;
+
+struct DrawData
+
+    {
+    ogl::Arrays arr;
+    ogl::Texture2D tex;
+    ogl::Buffer indices;
+    };
+
+void draw(void* userdata);
+
+void draw(void* userdata)
+{
+    DrawData* data = static_cast<DrawData*>(userdata);
+    glMatrixMode(GL_MODELVIEW);
+    glLoadIdentity();
+    gluLookAt(obsX, obsY, obsZ, 0, 0, .0, .0, 10.0, 0.0);
+    glTranslatef(tx,ty,0);
+    keyPressed = false;
+    ogl::render(data->arr, data->indices, ogl::TRIANGLES);
+}
+
+static void onMouse(int event, int x, int y, int flags, void*)
+{
+    if (event == EVENT_RBUTTONDOWN)
+    {
+        prevX = x;
+        prevY = y;
+    }
+    if (event == EVENT_RBUTTONUP)
+    {
+        prevX = -1;
+        prevY = -1;
+    }
+    if (prevX != -1)
+    {
+        tx += float((x - prevX) / 100.0);
+        ty -= float((y - prevY) / 100.0);
+        prevX = x;
+        prevY = y;
+    }
+    if (event == EVENT_LBUTTONDOWN)
+    {
+        prevTheta = x;
+        prevPhi = y;
+    }
+    if (event == EVENT_LBUTTONUP)
+    {
+        prevTheta = -1000;
+        prevPhi = -1000;
+    }
+    if (prevTheta != -1000)
+    {   
+        if (x - prevTheta<0)
+        {
+            thetaObs +=(float)0.02;
+        }
+        else if (x - prevTheta>0)
+        {
+            thetaObs -= (float)0.02;
+        }
+        if (y - prevPhi<0)
+        {
+            phiObs -= (float)0.02;
+        }
+        else if (y - prevPhi>0)
+        {
+            phiObs += (float)0.02;
+        }
+        prevTheta = x;
+        prevPhi = y;
+    }
+    if (event==EVENT_MOUSEWHEEL)
+        if (getMouseWheelDelta(flags)>0)
+            rObs += (float)0.1;
+        else
+            rObs -= (float)0.1;
+        float pi = (float)acos(-1.0);
+    if (thetaObs>pi)
+        {
+        thetaObs = -2 * pi + thetaObs;
+        }
+    if (thetaObs<-pi)
+        thetaObs = 2 * pi + thetaObs;
+    if (phiObs>pi / 2)
+        phiObs = pi / 2 - (float)0.0001;
+    if (phiObs<-pi / 2)
+        phiObs = -pi / 2 + (float)0.00001;
+    if (rObs<0)
+        rObs = 0;
+
+}
+
+void DrawOpenGLMSER(Mat img, Mat result)
+{
+    Mat imgGray;
+    if (img.type() != CV_8UC1)
+        cvtColor(img, imgGray, COLOR_BGR2GRAY);
+    else
+        imgGray = img;
+    namedWindow("OpenGL", WINDOW_OPENGL);
+    setMouseCallback("OpenGL", onMouse, NULL);
+
+    Mat_<Vec3f> vertex(1, img.cols*img.rows);
+    Mat_<Vec2f> texCoords(1, img.cols*img.rows);
+    for (int i = 0, nbPix = 0; i<img.rows; i++)
+        {
+        for (int j = 0; j<img.cols; j++, nbPix++)
+            {
+            float x = (j) / (float)img.cols;
+            float y = (i) / (float)img.rows;
+            vertex.at< Vec3f >(0, nbPix) = Vec3f(float(2 * (x - 0.5)), float(2 * (0.5 - y)), float(imgGray.at<uchar>(i, j) / 512.0));
+            texCoords.at< Vec2f>(0, nbPix) = Vec2f(x, y);
+            }
+        }
+
+    Mat_<int> indices(1, (img.rows - 1)*(6 * img.cols));
+    for (int i = 1, nbPix = 0; i<img.rows; i++)
+        {
+        for (int j = 1; j<img.cols; j++)
+            {
+            int c = i*img.cols + j;
+            indices.at<int>(0, nbPix++) = c ;
+            indices.at<int>(0, nbPix++) = c - 1;
+            indices.at<int>(0, nbPix++) = c- img.cols - 1;
+            indices.at<int>(0, nbPix++) = c- img.cols - 1;
+            indices.at<int>(0, nbPix++) = c - img.cols;
+            indices.at<int>(0, nbPix++) = c ;
+            }
+        }
+
+    DrawData *data = new DrawData;
+
+    data->arr.setVertexArray(vertex);
+    data->arr.setTexCoordArray(texCoords);
+    data->indices.copyFrom(indices);
+    data->tex.copyFrom(result);
+
+    glMatrixMode(GL_PROJECTION);
+    glLoadIdentity();
+    gluPerspective(45.0, (double)win_width / win_height, 0.0, 1000.0);
+
+    glMatrixMode(GL_MODELVIEW);
+    glLoadIdentity();
+
+    glEnable(GL_TEXTURE_2D);
+    data->tex.bind();
+
+    glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_LINEAR);
+    glTexEnvi(GL_TEXTURE_2D, GL_TEXTURE_ENV_MODE, GL_REPLACE);
+
+    glDisable(GL_CULL_FACE);
+    setOpenGlDrawCallback("OpenGL", draw, data);
+
+    for (;;)
+        {
+        updateWindow("OpenGL");
+        int key = waitKey(40);
+        if ((key & 0xff) == 27)
+            break;
+        if (key == 0x20)
+            rotateEnable = !rotateEnable;
+        float  pi = (float)acos(-1);
+
+        switch (key) {
+            case '5':
+                obsX = 0, obsY = 0, obsZ = -10;
+                thetaObs = -pi/2, phiObs = pi/2, rObs = 10;
+                tx=0;ty=0;
+                break;
+            case '4':
+                thetaObs += (float)0.1;
+                break;
+            case '6':
+                thetaObs -= (float)0.1;
+                break;
+            case '2':
+                phiObs -= (float).1;
+                break;
+            case '8':
+                phiObs += (float).1;
+                break;
+            case '+':
+                rObs -= (float).1;
+                break;
+            case '-':
+                rObs += (float).1;
+                break;
+        }
+        if (thetaObs>pi)
+        {
+            thetaObs = -2 * pi + thetaObs;
+        }
+        if (thetaObs<-pi)
+            thetaObs = 2 * pi + thetaObs;
+        if (phiObs>pi / 2)
+            phiObs = pi / 2 - (float)0.0001;
+        if (phiObs<-pi / 2)
+            phiObs = -pi / 2 + (float)0.00001;
+        if (rObs<0)
+            rObs = 0;
+        obsX = rObs*cos(thetaObs)*cos(phiObs);
+        obsY = rObs*sin(thetaObs)*cos(phiObs);
+        obsZ = rObs*sin(phiObs);
+    }
+    setOpenGlDrawCallback("OpenGL", 0, 0);
+    destroyAllWindows();
+}
+
+Mat MakeSyntheticImage()
+{
+    Mat img(800, 800, CV_8UC1);
+    map<int, char> val;
+    int fond = 0;
+    img = Scalar(fond);
+    val[fond] = 1;
+    int width1[] = { 390, 380, 300, 290, 280, 270, 260, 250, 210, 190, 150, 100, 80, 70 };
+    int color1[] = { 80, 180, 160, 140, 120, 100, 90, 110, 170, 150, 140, 100, 220 };
+    Point p0(10, 10);
+    int *width, *color;
+
+    width = width1;
+    color = color1;
+    for (int i = 0; i<13; i++)
+        {
+        rectangle(img, Rect(p0, Size(width[i], width[i])), Scalar(color[i]), 1);
+        p0 += Point((width[i] - width[i + 1]) / 2, (width[i] - width[i + 1]) / 2);
+        floodFill(img, p0, Scalar(color[i]));
+
+        }
+    int color2[] = { 81, 181, 161, 141, 121, 101, 91, 111, 171, 151, 141, 101, 221 };
+    color = color2;
+    p0 = Point(200, 600);
+    for (int i = 0; i<13; i++)
+        {
+        circle(img, p0, width[i] / 2, Scalar(color[i]), 1);
+        floodFill(img, p0, Scalar(color[i]));
+
+        }
+    int color3[] = { 175,75,95,115,135,155,165,145,85,105,115,156 };
+    color = color3;
+    p0 = Point(410, 10);
+    for (int i = 0; i<13; i++)
+        {
+        rectangle(img, Rect(p0, Size(width[i], width[i])), Scalar(color[i]), 1);
+        p0 += Point((width[i] - width[i + 1]) / 2, (width[i] - width[i + 1]) / 2);
+        floodFill(img, p0, Scalar(color[i]));
+
+        }
+    int color4[] = { 173,73,93,113,133,153,163,143,83,103,114,154 };
+    color = color4;
+
+    p0 = Point(600, 600);
+    for (int i = 0; i<13; i++)
+        {
+        circle(img, p0, width[i] / 2, Scalar(color[i]), 1);
+        floodFill(img, p0, Scalar(color[i]));
+
+        }
+    int histSize = 256;
+    float range[] = { 0, 256 };
+    const float* histRange[] = { range };
+    Mat hist;
+    // we compute the histogram 
+
+    calcHist(&img, 1, 0, Mat(), hist, 1, &histSize, histRange, true, false);
+    cout << "****************Maximal region************************\n";
+    for (int i = 0; i < hist.rows ; i++)
+    {
+        if (hist.at<float>(i, 0)!=0)
+        {
+            cout << "h" << i << "=\t" << hist.at<float>(i, 0) <<  "\n";
+        }
+    }
+
+    return img;
+}
+
+int main(int argc, char *argv[])
+{
+    vector<String> fileName;
+    Mat imgOrig,img;
+    Size blurSize(5,5);
+    if (argc==2)
+    {
+        fileName.push_back(argv[1]);
+        imgOrig = imread(fileName[0], IMREAD_GRAYSCALE);    blur(imgOrig, img, blurSize);
+
+    }
+    else
+    {
+        fileName.push_back("SyntheticImage.bmp");
+        imgOrig = MakeSyntheticImage();
+        img=imgOrig;
+    }
+
+    MSERParams pDefaultMSER;
+    // Descriptor array MSER
+    vector<String> typeDesc;
+    // Param array for MSER
+    vector<MSERParams> pMSER;
+    vector<MSERParams>::iterator itMSER;
+
+    // Color palette
+    vector<Vec3b>  palette;
+    for (int i = 0; i<65536; i++)
+        palette.push_back(Vec3b((uchar)rand(), (uchar)rand(), (uchar)rand()));
+    help();
+
+    typeDesc.push_back("MSER");
+    pMSER.push_back(pDefaultMSER);
+    pMSER.back().delta = 10;
+    pMSER.back().minArea = 100;
+    pMSER.back().maxArea = 5000;
+    pMSER.back().maxVariation = 2;
+    pMSER.back().minDiversity = 0;
+    pMSER.back().pass2Only = true;
+    typeDesc.push_back("MSER");
+    pMSER.push_back(pDefaultMSER);
+    pMSER.back().delta = 10;
+    pMSER.back().minArea = 100;
+    pMSER.back().maxArea = 5000;
+    pMSER.back().maxVariation = 2;
+    pMSER.back().minDiversity = 0;
+    pMSER.back().pass2Only = false;
+    typeDesc.push_back("MSER");
+    pMSER.push_back(pDefaultMSER);
+    pMSER.back().delta = 100;
+    pMSER.back().minArea = 100;
+    pMSER.back().maxArea = 5000;
+    pMSER.back().maxVariation = 2;
+    pMSER.back().minDiversity = 0;
+    pMSER.back().pass2Only = false;
+    itMSER = pMSER.begin();
+    vector<double> desMethCmp;
+    Ptr<Feature2D> b;
+    String label;
+    // Descriptor loop
+    vector<String>::iterator itDesc;
+    Mat result(img.rows, img.cols, CV_8UC3);
+    for (itDesc = typeDesc.begin(); itDesc != typeDesc.end(); itDesc++)
+    {
+        vector<KeyPoint> keyImg1;
+        if (*itDesc == "MSER"){
+            if (img.type() == CV_8UC3)
+            {
+                b = MSER::create(itMSER->delta, itMSER->minArea, itMSER->maxArea, itMSER->maxVariation, itMSER->minDiversity, itMSER->maxEvolution,
+                                 itMSER->areaThreshold, itMSER->minMargin, itMSER->edgeBlurSize);
+                label = Legende(*itMSER);
+                itMSER++;
+
+            }
+            else
+            {
+                b = MSER::create(itMSER->delta, itMSER->minArea, itMSER->maxArea, itMSER->maxVariation, itMSER->minDiversity);
+                b.dynamicCast<MSER>()->setPass2Only(itMSER->pass2Only);
+                label = Legende(*itMSER);
+                itMSER++;
+            }
+        }
+        if (img.type()==CV_8UC3)
+        {
+            img.copyTo(result);
+        }
+        else
+        {
+            vector<Mat> plan;
+            plan.push_back(img);
+            plan.push_back(img);
+            plan.push_back(img);
+            merge(plan,result);
+        }
+        try 
+        {
+            // We can detect regions using detectRegions method
+            vector<KeyPoint>  keyImg;
+            vector<Rect>  zone;
+            vector<vector <Point>>  region;
+            Mat     desc;
+
+            if (b.dynamicCast<MSER>() != NULL)
+            {
+                Ptr<MSER> sbd = b.dynamicCast<MSER>();
+                sbd->detectRegions(img, region, zone);
+                int i = 0;
+                //result = Scalar(0, 0, 0);
+                int nbPixelInMSER=0;
+                for (vector<vector <Point>>::iterator itr = region.begin(); itr != region.end(); itr++, i++)
+                {
+                    for (vector <Point>::iterator itp = region[i].begin(); itp != region[i].end(); itp ++)
+                    {
+                        // all pixels belonging to region become blue
+                        result.at<Vec3b>(itp->y, itp->x) = Vec3b(128, 0, 0);
+                        nbPixelInMSER++;
+                    }
+                }
+                cout << "Number of MSER region " << region.size()<<" Number of pixels in all MSER region : "<<nbPixelInMSER<<"\n";
+            }
+            namedWindow(*itDesc + label, WINDOW_AUTOSIZE);
+            imshow(*itDesc + label, result);
+            imshow("Original", img);
+        }
+        catch (Exception& e)
+        {
+            cout << "Feature : " << *itDesc << "\n";
+            cout << e.msg << endl;
+        }
+        DrawOpenGLMSER(img,result);
+        waitKey();
+    }
+    return 0;
+}
+
+
+
+