Here is the general structure of the program:
- You can give full path to an image in command line
- @code{.cpp}
- CommandLineParser parser(argc, argv, keys);
+ @snippet histo3D.cpp command_line_parser
- if (parser.has("help"))
- {
- parser.printMessage();
- return 0;
- }
- String nomFic = parser.get<String>(0);
- Mat img;
- if (nomFic.length() != 0)
- {
- img = imread(nomFic, IMREAD_COLOR);
- if (img.empty())
- {
- cout << "Image does not exist!";
- return 0;
- }
- }
- @endcode
- or without path, a synthetic image is generated with pixel values are a gaussian distribution center(60+/-10,40+/-5,50+/-20) in first quadrant,
+ or without path, a synthetic image is generated with pixel values are a gaussian distribution @ref cv::RNG::fill center(60+/-10,40+/-5,50+/-20) in first quadrant,
(160+/-20,10+/-5,50+/-10) in second quadrant, (90+/-10,100+/-20,50+/-20) in third quadrant, (100+/-10,10+/-5,150+/-40) in last quadrant.
- @code{.cpp}
- else
- {
- img = Mat(512,512,CV_8UC3);
- parser.printMessage();
- RNG r;
- r.fill(img(Rect(0, 0, 256, 256)), RNG::NORMAL, Vec3b(60, 40, 50), Vec3b(10, 5, 20));
- r.fill(img(Rect(256, 0, 256, 256)), RNG::NORMAL, Vec3b(160, 10, 50), Vec3b(20, 5, 10));
- r.fill(img(Rect(0, 256, 256, 256)), RNG::NORMAL, Vec3b(90, 100, 50), Vec3b(10, 20, 20));
- r.fill(img(Rect(256, 256, 256, 256)), RNG::NORMAL, Vec3b(100, 10, 150), Vec3b(10, 5, 40));
- }
- @endcode
- Image tridimensional histogram is calculated using opencv calcHist and normalize between 0 and 100.
- @code{.cpp}
- float hRange[] = { 0, 256 };
- const float* etendu[] = { hRange, hRange,hRange };
- int hBins = 32;
- int tailleHist[] = { hBins, hBins , hBins };
- int canaux[] = { 2, 1,0 };
- calcHist(&img, 1, canaux, Mat(), h.histogram, 3, tailleHist, etendu, true, false);
- normalize(h.histogram, h.histogram, 100.0/(img.total()), 0, cv::NormTypes::NORM_MINMAX, -1, cv::Mat());
- minMaxIdx(h.histogram,NULL,&h.maxH,NULL,NULL);
- @endcode
- channel are 2, 1 and 0 to synchronise color with Viz axis color in objetc viz::WCoordinateSystem.
+ @snippet histo3D.cpp synthetic_image
+ Image tridimensional histogram is calculated using opencv @ref cv::calcHist and @ref cv::normalize between 0 and 100.
+ @snippet histo3D.cpp calchist_for_histo3d
+ channel are 2, 1 and 0 to synchronise color with Viz axis color in objetc cv::viz::WCoordinateSystem.
A slidebar is inserted in image window. Init slidebar value is 90, it means that only histogram cell greater than 9/100000.0 (23 pixels for an 512X512 pixels) will be display.
- @code{.cpp}
- namedWindow("Image");
- imshow("Image",img);
- AddSlidebar("threshold","Image",0,100,h.seuil,&h.seuil, UpdateThreshold,&h);
- waitKey(30);
- @endcode
- We are ready to open a viz window with a callback function to capture keyboard event in viz window. Using Viz::spinonce enable keyboard event to be capture in imshow window too.
- @code{.cpp}
- h.fen3D = new viz::Viz3d("3D Histogram");
- h.nbWidget=0;
- h.fen3D->registerKeyboardCallback(KeyboardViz3d,&h);
- DrawHistogram3D(h);
- while (h.code!=27)
- {
- h.fen3D->spinOnce(1);
- if (h.status)
- DrawHistogram3D(h);
- if (h.code!=27)
- h.code= waitKey(30);
- }
- @endcode
- The function DrawHistogram3D processes histogram Mat to display it in a Viz window. Number of plan, row and column in three dimensional Mat ca be found using this code :
- @code{.cpp}
- int planSize = h.histogram.step1(0);
- int cols = h.histogram.step1(1);
- int rows = planSize / cols;
- int plans = h.histogram.total() / planSize;
- h.fen3D->removeAllWidgets();
- h.nbWidget=0;
- if (h.nbWidget==0)
- h.fen3D->showWidget("Axis", viz::WCoordinateSystem(10));
- @endcode
- To get histogram value at a specific location we use at method with three arguments k, i and j where k is plane number, i row number and j column number.
- @code{.cpp}
- for (int k = 0; k < plans; k++)
- {
- for (int i = 0; i < rows; i++)
- {
- for (int j = 0; j < cols; j++)
- {
- double x = h.histogram.at<float>(k, i, j);
- if (x >= h.threshold)
- {
- double r=std::max(x/h.maxH,0.1);
- viz::WCube s(Point3d(k - r / 2, i - r / 2, j - r / 2), Point3d(k + r / 2, i + r / 2, j + r / 2), false, viz::Color(j / double(plans) * 255, i / double(rows) * 255, k / double(cols) * 255));
- h.fen3D->showWidget(format("I3d%d", h.nbWidget++), s);
- }
- }
- }
- }
- @endcode
+ @snippet histo3D.cpp slide_bar_for_thresh
+ We are ready to open a viz window with a callback function to capture keyboard event in viz window. Using @ref cv::viz::Viz3d::spinOnce enable keyboard event to be capture in @ref cv::imshow window too.
+ @snippet histo3D.cpp manage_viz_imshow_window
+ The function DrawHistogram3D processes histogram Mat to display it in a Viz window. Number of plan, row and column in (three dimensional Mat)[http://docs.opencv.org/master/d3/d63/classcv_1_1Mat.html#details] can be found using this code :
+ @snippet histo3D.cpp get_cube_size
+ To get histogram value at a specific location we use @ref cv::Mat::at(int i0,int i1, int i2) method with three arguments k, i and j where k is plane number, i row number and j column number.
+ @snippet histo3D.cpp get_cube_values
- Callback function
- Principle are as mouse callback function. Key code pressed is in field code of class viz::KeyboardEvent.
- @code{.cpp}
- void KeyboardViz3d(const viz::KeyboardEvent &w, void *t)
- {
- Histo3DData *x=(Histo3DData *)t;
- if (w.action)
- cout << "you pressed "<< w.symbol<< " in viz window "<<x->fen3D->getWindowName()<<"\n";
- x->code= w.code;
- switch (w.code) {
- case '/':
- x->status=true;
- x->threshold *= 0.9;
- break;
- case '*':
- x->status = true;
- x->threshold *= 1.1;
- break;
-
- }
- if (x->status)
- {
- cout << x->threshold << "\n";
- DrawHistogram3D(*x);
- }
- }
- @endcode
+ Principle are as mouse callback function. Key code pressed is in field code of class @ref cv::viz::KeyboardEvent.
+ @snippet histo3D.cpp viz_keyboard_callback
Results
-------
void DrawHistogram3D(Histo3DData &h)
{
+ //! [get_cube_size]
int planSize = h.histogram.step1(0);
int cols = h.histogram.step1(1);
int rows = planSize / cols;
h.nbWidget=0;
if (h.nbWidget==0)
h.fen3D->showWidget("Axis", viz::WCoordinateSystem(10));
+ //! [get_cube_size]
+ //! [get_cube_values]
for (int k = 0; k < plans; k++)
{
for (int i = 0; i < rows; i++)
}
}
}
+ //! [get_cube_values]
h.status = false;
}
-
+//! [viz_keyboard_callback]
void KeyboardViz3d(const viz::KeyboardEvent &w, void *t)
{
Histo3DData *x=(Histo3DData *)t;
DrawHistogram3D(*x);
}
}
+//! [viz_keyboard_callback]
void AddSlidebar(String sliderName, String windowName, int sliderMin, int sliderMax, int defaultSlider, int *sliderVal, void(*f)(int, void *), void *r)
int main (int argc,char **argv)
{
+ //! [command_line_parser]
CommandLineParser parser(argc, argv, keys);
if (parser.has("help"))
return 0;
}
}
+ //! [command_line_parser]
+ //! [synthetic_image]
else
{
img = Mat(512,512,CV_8UC3);
r.fill(img(Rect(0, 256, 256, 256)), RNG::NORMAL, Vec3b(90, 100, 50), Vec3b(10, 20, 20));
r.fill(img(Rect(256, 256, 256, 256)), RNG::NORMAL, Vec3b(100, 10, 150), Vec3b(10, 5, 40));
}
+ //! [synthetic_image]
+ //! [calchist_for_histo3d]
Histo3DData h;
h.status=true;
h.seuil=90;
calcHist(&img, 1, channel, Mat(), h.histogram, 3, histSize, etendu, true, false);
normalize(h.histogram, h.histogram, 100.0/(img.total()), 0, NORM_MINMAX, -1, Mat());
minMaxIdx(h.histogram,NULL,&h.maxH,NULL,NULL);
+ //! [calchist_for_histo3d]
+ //! [slide_bar_for_thresh]
namedWindow("Image");
imshow("Image",img);
AddSlidebar("threshold","Image",0,100,h.seuil,&h.seuil, UpdateThreshold,&h);
waitKey(30);
-
+ //! [slide_bar_for_thresh]
+ //! [manage_viz_imshow_window]
h.fen3D = new viz::Viz3d("3D Histogram");
h.nbWidget=0;
h.fen3D->registerKeyboardCallback(KeyboardViz3d,&h);
if (h.code!=27)
h.code= waitKey(30);
}
+ //! [manage_viz_imshow_window]
return 0;
}
#else
projects / platform / upstream / opencv.git / commitdiff