105 lines
2.4 KiB
C++
105 lines
2.4 KiB
C++
/**
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* @file BackProject_Demo2.cpp
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* @brief Sample code for backproject function usage ( a bit more elaborated )
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* @author OpenCV team
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*/
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#include "opencv2/imgproc.hpp"
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#include "opencv2/imgcodecs.hpp"
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#include "opencv2/highgui.hpp"
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#include <iostream>
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using namespace cv;
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using namespace std;
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/// Global Variables
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Mat src; Mat hsv;
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Mat mask;
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int lo = 20; int up = 20;
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const char* window_image = "Source image";
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/// Function Headers
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void Hist_and_Backproj( );
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void pickPoint (int event, int x, int y, int, void* );
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/**
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* @function main
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*/
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int main( int, char** argv )
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{
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/// Read the image
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src = imread( argv[1], IMREAD_COLOR );
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/// Transform it to HSV
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cvtColor( src, hsv, COLOR_BGR2HSV );
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/// Show the image
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namedWindow( window_image, WINDOW_AUTOSIZE );
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imshow( window_image, src );
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/// Set Trackbars for floodfill thresholds
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createTrackbar( "Low thresh", window_image, &lo, 255, 0 );
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createTrackbar( "High thresh", window_image, &up, 255, 0 );
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/// Set a Mouse Callback
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setMouseCallback( window_image, pickPoint, 0 );
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waitKey(0);
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return 0;
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}
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/**
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* @function pickPoint
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*/
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void pickPoint (int event, int x, int y, int, void* )
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{
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if( event != EVENT_LBUTTONDOWN )
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{ return; }
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// Fill and get the mask
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Point seed = Point( x, y );
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int newMaskVal = 255;
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Scalar newVal = Scalar( 120, 120, 120 );
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int connectivity = 8;
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int flags = connectivity + (newMaskVal << 8 ) + FLOODFILL_FIXED_RANGE + FLOODFILL_MASK_ONLY;
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Mat mask2 = Mat::zeros( src.rows + 2, src.cols + 2, CV_8UC1 );
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floodFill( src, mask2, seed, newVal, 0, Scalar( lo, lo, lo ), Scalar( up, up, up), flags );
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mask = mask2( Range( 1, mask2.rows - 1 ), Range( 1, mask2.cols - 1 ) );
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imshow( "Mask", mask );
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Hist_and_Backproj( );
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}
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/**
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* @function Hist_and_Backproj
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*/
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void Hist_and_Backproj( )
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{
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MatND hist;
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int h_bins = 30; int s_bins = 32;
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int histSize[] = { h_bins, s_bins };
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float h_range[] = { 0, 179 };
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float s_range[] = { 0, 255 };
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const float* ranges[] = { h_range, s_range };
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int channels[] = { 0, 1 };
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/// Get the Histogram and normalize it
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calcHist( &hsv, 1, channels, mask, hist, 2, histSize, ranges, true, false );
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normalize( hist, hist, 0, 255, NORM_MINMAX, -1, Mat() );
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/// Get Backprojection
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MatND backproj;
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calcBackProject( &hsv, 1, channels, hist, backproj, ranges, 1, true );
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/// Draw the backproj
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imshow( "BackProj", backproj );
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}
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