opencv/samples/cpp/tutorial_code/Histograms_Matching/calcBackProject_Demo2.cpp

104 lines
2.3 KiB
C++

/**
* @file BackProject_Demo2.cpp
* @brief Sample code for backproject function usage ( a bit more elaborated )
* @author OpenCV team
*/
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <iostream>
using namespace cv;
using namespace std;
/// Global Variables
Mat src; Mat hsv;
Mat mask;
int lo = 20; int up = 20;
char* window_image = "Source image";
/// Function Headers
void Hist_and_Backproj( );
void pickPoint (int event, int x, int y, int, void* );
/**
* @function main
*/
int main( int argc, char** argv )
{
/// Read the image
src = imread( argv[1], 1 );
/// Transform it to HSV
cvtColor( src, hsv, CV_BGR2HSV );
/// Show the image
namedWindow( window_image, CV_WINDOW_AUTOSIZE );
imshow( window_image, src );
/// Set Trackbars for floodfill thresholds
createTrackbar( "Low thresh", window_image, &lo, 255, 0 );
createTrackbar( "High thresh", window_image, &up, 255, 0 );
/// Set a Mouse Callback
setMouseCallback( window_image, pickPoint, 0 );
waitKey(0);
return 0;
}
/**
* @function pickPoint
*/
void pickPoint (int event, int x, int y, int, void* )
{
if( event != CV_EVENT_LBUTTONDOWN )
{ return; }
// Fill and get the mask
Point seed = Point( x, y );
int newMaskVal = 255;
Scalar newVal = Scalar( 120, 120, 120 );
int connectivity = 8;
int flags = connectivity + (newMaskVal << 8 ) + FLOODFILL_FIXED_RANGE + FLOODFILL_MASK_ONLY;
Mat mask2 = Mat::zeros( src.rows + 2, src.cols + 2, CV_8UC1 );
floodFill( src, mask2, seed, newVal, 0, Scalar( lo, lo, lo ), Scalar( up, up, up), flags );
mask = mask2( Range( 1, mask2.rows - 1 ), Range( 1, mask2.cols - 1 ) );
imshow( "Mask", mask );
Hist_and_Backproj( );
}
/**
* @function Hist_and_Backproj
*/
void Hist_and_Backproj( )
{
MatND hist;
int h_bins = 30; int s_bins = 32;
int histSize[] = { h_bins, s_bins };
float h_range[] = { 0, 179 };
float s_range[] = { 0, 255 };
const float* ranges[] = { h_range, s_range };
int channels[] = { 0, 1 };
/// Get the Histogram and normalize it
calcHist( &hsv, 1, channels, mask, hist, 2, histSize, ranges, true, false );
normalize( hist, hist, 0, 255, NORM_MINMAX, -1, Mat() );
/// Get Backprojection
MatND backproj;
calcBackProject( &hsv, 1, channels, hist, backproj, ranges, 1, true );
/// Draw the backproj
imshow( "BackProj", backproj );
}