I am implementing a code of Matlab in C++. In Matlab they have used bwdist to calculate the euclidean distance.
I am using the function distanceTransform to get the same result as in Matlab, but the results are drastically different.
float tests[5][5] = {{0, 0, 0, 0,0},{0, 0, 0, 0,0},{0, 0, 1, 0,0},{0, 0, 0, 0,0},{0 , 0 , 0 , 0,0}};
Mat test(5,5,CV_8UC1,&tests);
Mat test_result = Mat::zeros(5,5,CV_32FC1);
distanceTransform(test,test_result,CV_DIST_L1,3);
C++ Result is given below.
test_result = [0, 0, 0, 0, 0; 0, 0, 0, 0, 0; 0, 0, 0, 0, 0; 0, 0, 0, 0, 0; 0, 0, 0, 0, 0]
All zeros while using in OpenCV. Whereas the Matlab Result is something different.
2.8284 2.2361 2.0000 2.2361 2.8284
2.2361 1.4142 1.0000 1.4142 2.2361
2.0000 1.0000 0 1.0000 2.0000
2.2361 1.4142 1.0000 1.4142 2.2361
2.8284 2.2361 2.0000 2.2361 2.8284
Please suggest me some way to get the same result in C++/OpenCv too, as there is in Matlab.
I dare say the function works. Next time feed your matrices with proper data.
uchar tests[5][5] = { //You create a 8UC1, so your data set type should match
{1, 1, 1, 1, 1},
{1, 1, 1, 1, 1},
{1, 1, 0, 1, 1},
{1, 1, 1, 1, 1},
{1 ,1, 1, 1, 1}};
Mat test(5, 5, CV_8UC1, tests); //tests is already a pointer
Mat test_result;
distanceTransform(test, test_result, CV_DIST_L2, 3); //You want euclidian distance