mirror of
https://github.com/opencv/opencv.git
synced 2024-12-25 01:28:15 +08:00
138 lines
4.1 KiB
C++
138 lines
4.1 KiB
C++
#include <opencv2/core/utility.hpp>
|
|
#include "opencv2/imgproc.hpp"
|
|
#include "opencv2/highgui.hpp"
|
|
|
|
#include <cstdio>
|
|
#include <iostream>
|
|
|
|
using namespace cv;
|
|
using namespace std;
|
|
|
|
static void help()
|
|
{
|
|
cout << "\nThis program demonstrates the famous watershed segmentation algorithm in OpenCV: watershed()\n"
|
|
"Usage:\n"
|
|
"./watershed [image_name -- default is fruits.jpg]\n" << endl;
|
|
|
|
|
|
cout << "Hot keys: \n"
|
|
"\tESC - quit the program\n"
|
|
"\tr - restore the original image\n"
|
|
"\tw or SPACE - run watershed segmentation algorithm\n"
|
|
"\t\t(before running it, *roughly* mark the areas to segment on the image)\n"
|
|
"\t (before that, roughly outline several markers on the image)\n";
|
|
}
|
|
Mat markerMask, img;
|
|
Point prevPt(-1, -1);
|
|
|
|
static void onMouse( int event, int x, int y, int flags, void* )
|
|
{
|
|
if( x < 0 || x >= img.cols || y < 0 || y >= img.rows )
|
|
return;
|
|
if( event == EVENT_LBUTTONUP || !(flags & EVENT_FLAG_LBUTTON) )
|
|
prevPt = Point(-1,-1);
|
|
else if( event == EVENT_LBUTTONDOWN )
|
|
prevPt = Point(x,y);
|
|
else if( event == EVENT_MOUSEMOVE && (flags & EVENT_FLAG_LBUTTON) )
|
|
{
|
|
Point pt(x, y);
|
|
if( prevPt.x < 0 )
|
|
prevPt = pt;
|
|
line( markerMask, prevPt, pt, Scalar::all(255), 5, 8, 0 );
|
|
line( img, prevPt, pt, Scalar::all(255), 5, 8, 0 );
|
|
prevPt = pt;
|
|
imshow("image", img);
|
|
}
|
|
}
|
|
|
|
int main( int argc, char** argv )
|
|
{
|
|
char* filename = argc >= 2 ? argv[1] : (char*)"fruits.jpg";
|
|
Mat img0 = imread(filename, 1), imgGray;
|
|
|
|
if( img0.empty() )
|
|
{
|
|
cout << "Couldn'g open image " << filename << ". Usage: watershed <image_name>\n";
|
|
return 0;
|
|
}
|
|
help();
|
|
namedWindow( "image", 1 );
|
|
|
|
img0.copyTo(img);
|
|
cvtColor(img, markerMask, COLOR_BGR2GRAY);
|
|
cvtColor(markerMask, imgGray, COLOR_GRAY2BGR);
|
|
markerMask = Scalar::all(0);
|
|
imshow( "image", img );
|
|
setMouseCallback( "image", onMouse, 0 );
|
|
|
|
for(;;)
|
|
{
|
|
int c = waitKey(0);
|
|
|
|
if( (char)c == 27 )
|
|
break;
|
|
|
|
if( (char)c == 'r' )
|
|
{
|
|
markerMask = Scalar::all(0);
|
|
img0.copyTo(img);
|
|
imshow( "image", img );
|
|
}
|
|
|
|
if( (char)c == 'w' || (char)c == ' ' )
|
|
{
|
|
int i, j, compCount = 0;
|
|
vector<vector<Point> > contours;
|
|
vector<Vec4i> hierarchy;
|
|
|
|
findContours(markerMask, contours, hierarchy, RETR_CCOMP, CHAIN_APPROX_SIMPLE);
|
|
|
|
if( contours.empty() )
|
|
continue;
|
|
Mat markers(markerMask.size(), CV_32S);
|
|
markers = Scalar::all(0);
|
|
int idx = 0;
|
|
for( ; idx >= 0; idx = hierarchy[idx][0], compCount++ )
|
|
drawContours(markers, contours, idx, Scalar::all(compCount+1), -1, 8, hierarchy, INT_MAX);
|
|
|
|
if( compCount == 0 )
|
|
continue;
|
|
|
|
vector<Vec3b> colorTab;
|
|
for( i = 0; i < compCount; i++ )
|
|
{
|
|
int b = theRNG().uniform(0, 255);
|
|
int g = theRNG().uniform(0, 255);
|
|
int r = theRNG().uniform(0, 255);
|
|
|
|
colorTab.push_back(Vec3b((uchar)b, (uchar)g, (uchar)r));
|
|
}
|
|
|
|
double t = (double)getTickCount();
|
|
watershed( img0, markers );
|
|
t = (double)getTickCount() - t;
|
|
printf( "execution time = %gms\n", t*1000./getTickFrequency() );
|
|
|
|
Mat wshed(markers.size(), CV_8UC3);
|
|
|
|
// paint the watershed image
|
|
for( i = 0; i < markers.rows; i++ )
|
|
for( j = 0; j < markers.cols; j++ )
|
|
{
|
|
int index = markers.at<int>(i,j);
|
|
if( index == -1 )
|
|
wshed.at<Vec3b>(i,j) = Vec3b(255,255,255);
|
|
else if( index <= 0 || index > compCount )
|
|
wshed.at<Vec3b>(i,j) = Vec3b(0,0,0);
|
|
else
|
|
wshed.at<Vec3b>(i,j) = colorTab[index - 1];
|
|
}
|
|
|
|
wshed = wshed*0.5 + imgGray*0.5;
|
|
imshow( "watershed transform", wshed );
|
|
}
|
|
}
|
|
|
|
return 0;
|
|
}
|