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example_12-04.cpp
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// Example 12-4. Using Watershed for image segmentation
#include <iostream>
#include <string>
#include <opencv2/opencv.hpp>
using std::cout;
using std::cerr;
using std::endl;
cv::Mat img_preview;
cv::Mat img;
cv::Mat markers;
bool finished;
void displayResult() {
cv::imshow("image", img);
finished = true;
}
const int dx[4] = {-1, 1, 0, 0};
const int dy[4] = {0, 0, -1, 1};
void fillMarker(int x, int y, int marker_id) {
if (x < 0 || y < 0 || x >= markers.rows || y >= markers.cols) {
return;
}
if (markers.at<int>(x, y) != -1) {
return;
}
markers.at<int>(x, y) = marker_id;
for (int dir = 0; dir < 4; ++dir) {
int nx = x + dx[dir];
int ny = y + dy[dir];
fillMarker(nx, ny, marker_id);
}
}
static void onMouseClick(int event, int x, int y, int, void*) {
if (finished) {
return;
}
if (event == cv::EVENT_LBUTTONDOWN) {
cv::ellipse(markers, cv::Point(x, y), cv::Size(1, 1),
0, 0, 360, -1, 3);
cv::ellipse(img_preview, cv::Point(x, y), cv::Size(1, 1),
0, 0, 360, cv::Scalar(0, 0, 255), 3);
cv::imshow("image", img_preview);
return;
}
if (event == cv::EVENT_RBUTTONDOWN) {
int marker_id = 0;
for (int x = 0; x < markers.rows; ++x) {
for (int y = 0; y < markers.cols; ++y) {
if (markers.at<int>(x, y) == -1) {
++marker_id;
fillMarker(x, y, marker_id);
}
}
}
cv::watershed(img, markers);
cv::Vec3b borderColor(0, 0, 255);
for (int x = 0; x < img.rows; ++x) {
for (int y = 0; y < img.cols; ++y) {
if (markers.at<int>(x, y) == -1) {
img.at<cv::Vec3b>(x, y) = borderColor;
continue;
}
for (int dir = 0; dir < 4; ++dir) {
int nx = x + dx[dir];
int ny = y + dy[dir];
if (nx < 0 || ny < 0 || nx >= img.rows || ny >= img.cols) {
continue;
}
if (markers.at<int>(x, y) != markers.at<int>(nx, ny)) {
img.at<cv::Vec3b>(x, y) = borderColor;
}
}
}
}
displayResult();
return;
}
}
int main(int argc, char** argv) {
if (argc != 2) {
cout << "\nExample 12-4. Using Watershed for image segmentation"
<< "\n- Use left click on the image to select foreground point"
<< "\n- Use right clock on the image to perform Watershed"
<< "\n- Press any key to terminate program"
<< "\nUsage: "
<< argv[0] << " <path/imagename>\n" << endl;
return -1;
}
img = cv::imread(std::string(argv[1]), CV_LOAD_IMAGE_COLOR);
if (img.channels() != 3) {
cerr << "Input image should have 3 channels" << endl;
exit(1);
}
markers = cv::Mat(img.size(), CV_32SC1);
markers.setTo(0);
img_preview = img.clone();
finished = false;
cv::namedWindow("image", cv::WINDOW_AUTOSIZE);
cv::setMouseCallback("image", onMouseClick, 0);
cv::imshow("image", img_preview);
cv::waitKey(0);
return 0;
}