I\'m atttempting to find the non-zero (x,y) coordinates of a binary image.
I\'ve found a few references to the function countNonZero()
which only count
you can find it without using findNonZero() this opencv method. rather u can get it by simply using 2 for loops. here is the snippet. hope it can help u.
**
for(int i = 0 ;i <image.rows() ; i++){// image : the binary image
for(int j = 0; j< image.cols() ; j++){
double[] returned = image.get(i,j);
int value = (int) returned[0];
if(value==255){
System.out.println("x: " +i + "\ty: "+j);// returned the (x,y) //co ordinates of all white pixels.
}
}
}
**
There is the following source code that was supplied for OpenCV 2.4.3, which may be helpful:
#include <opencv2/core/core.hpp>
#include <vector>
/*! @brief find non-zero elements in a Matrix
*
* Given a binary matrix (likely returned from a comparison
* operation such as compare(), >, ==, etc, return all of
* the non-zero indices as a std::vector<cv::Point> (x,y)
*
* This function aims to replicate the functionality of
* Matlab's command of the same name
*
* Example:
* \code
* // find the edges in an image
* Mat edges, thresh;
* sobel(image, edges);
* // theshold the edges
* thresh = edges > 0.1;
* // find the non-zero components so we can do something useful with them later
* vector<Point> idx;
* find(thresh, idx);
* \endcode
*
* @param binary the input image (type CV_8UC1)
* @param idx the output vector of Points corresponding to non-zero indices in the input
*/
void find(const cv::Mat& binary, std::vector<cv::Point> &idx) {
assert(binary.cols > 0 && binary.rows > 0 && binary.channels() == 1 && binary.depth() == CV_8U);
const int M = binary.rows;
const int N = binary.cols;
for (int m = 0; m < M; ++m) {
const char* bin_ptr = binary.ptr<char>(m);
for (int n = 0; n < N; ++n) {
if (bin_ptr[n] > 0) idx.push_back(cv::Point(n,m));
}
}
}
Note - it looks like the function signature was wrong so I've changed the output vector
to pass-by-reference.
Here is an explanation for how findNonZero()
saves non-zero elements. The following codes should be useful to access non-zero coordinates of your binary image. Method 1 used findNonZero()
in OpenCV, and Method 2 checked every pixels to find the non-zero (positive) ones.
Method 1:
#include <iostream>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
using namespace std;
using namespace cv;
int main(int argc, char** argv) {
Mat img = imread("binary image");
Mat nonZeroCoordinates;
findNonZero(img, nonZeroCoordinates);
for (int i = 0; i < nonZeroCoordinates.total(); i++ ) {
cout << "Zero#" << i << ": " << nonZeroCoordinates.at<Point>(i).x << ", " << nonZeroCoordinates.at<Point>(i).y << endl;
}
return 0;
}
Method 2:
#include <iostream>
#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
using namespace std;
using namespace cv;
int main(int argc, char** argv) {
Mat img = imread("binary image");
for (int i = 0; i < img.cols; i++ ) {
for (int j = 0; j < img.rows; j++) {
if (img.at<uchar>(j, i) > 0) {
cout << i << ", " << j << endl; // Do your operations
}
}
}
return 0;
}