In OpenCV (C++) I have a b&w image where some shapes appear filled with white (255). Knowing this, how can I get the coordinate points in the image where theses objects are? I'm interested on getting all the white pixels coordinates.
Is there a cleaner way than this?
std::vector<int> coordinates_white; // will temporaly store the coordinates where "white" is found
for (int i = 0; i<img_size.height; i++) {
for (int j = 0; j<img_size.width; j++) {
if (img_tmp.at<int>(i,j)>250) {
coordinates_white.push_back(i);
coordinates_white.push_back(j);
}
}
}
// copy the coordinates into a matrix where each row represents a *(x,y)* pair
cv::Mat coordinates = cv::Mat(coordinates_white.size()/2,2,CV_32S,&coordinates_white.front());
there is a built-in function to do that cv::findNonZero
Returns the list of locations of non-zero pixels.
Given a binary matrix (likely returned from an operation such as cv::threshold()
, cv::compare()
, >
, ==
, etc) returns all of the non-zero indices as a cv::Mat
or std::vector<cv::Point>
For example:
cv::Mat binaryImage; // input, binary image
cv::Mat locations; // output, locations of non-zero pixels
cv::findNonZero(binaryImage, locations);
// access pixel coordinates
Point pnt = locations.at<Point>(i);
or
cv::Mat binaryImage; // input, binary image
vector<Point> locations; // output, locations of non-zero pixels
cv::findNonZero(binaryImage, locations);
// access pixel coordinates
Point pnt = locations[i];
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