hi, i\'m trying to play a little bit with Mat class. I want to do a product element wise between two images, the c++/opencv port of MATLAB immultiply.
This is my cod
Thanks to Wajih comment i have done some basic test, and some basic debug, and i got i work perfectly. I think this could become a mini tutorial on alpha blending and image multiply, but for now is only a few lines of commented code.
note that the 2 images must be of the same size.. and for sure some error checking should be done for a solid code..
Hope it helps someone! And, of course, if you have some hints to make this code more readable or more compact (one-liner guys are very appreciate!) or efficient.. just comment, thank you a lot!
#include
#include
#include "opencv2/imgproc/imgproc.hpp"
#include
using namespace cv;
using namespace std;
void printMinMax(Mat m, string name) {
double minVal;
double maxVal;
Point minLoc;
Point maxLoc;
if(m.channels() >1) {
cout << "ERROR: matrix "<(3,3) << 0,1,2,3,4,5,6,7,255);
cout << "test Mat 3x3" << endl << imgA << endl;
// not that if a value exceed 255 it is truncated at value%256
imgA = (Mat_(3,3) << 0,1, 258 ,3,4,5,6,7,255);
cout << "test Mat 3x3 with last element truncated to 258%256=2" << endl << imgA << endl;
// create a second matrix
imgB = Mat(3, 3, CV_8UC1);
imgB = (Mat_(3,3) << 0,1,2,3,4,5,6,7,8);
// now the matrix product. we are multiplying a value that can goes from 0-255 with another 0-255 value..
// the edge cases are "min * min" and "max * max",
// that means: our product is a function that return a value in the domain 0*0-255*255 ; 0-65025
// ah, ah! this number exceed the Mat U8C1 domain!, we need different data types.
// we need a bigger one.. let's say 32FC1
Mat imgA_32FC1 = imgA.clone();
imgA_32FC1.convertTo(imgA_32FC1, CV_32FC1);
Mat imgB_32FC1 = imgB.clone();
imgB_32FC1.convertTo(imgB_32FC1, CV_32FC1);
// after conversion.. value are scaled?
cout << "imgA after conversion:" << endl << imgA_32FC1 << endl;
cout << "imgB after conversion:" << endl << imgB_32FC1 << endl;
product = imgA_32FC1.mul( imgB_32FC1 );
// note: the product values are in the range 0-65025
cout << "the product:" << endl << product << endl;
// now, this does not have much sense, because we started from a 0-255 range Mat and now we have a 0-65025 that is nothing..
// it is not uchar range and it is not float range (that is a lot bigger than that)
// so, we can normalize back to 0-255
// what do i mean with 'normalize' now?
// i mean: scale all values for a constant that maps 0 to 0 and 65025 to 255..
product.convertTo(product, CV_32FC1, 1.0f/65025.0f * 255);
// but it is still a 32FC1.. not as the start matix..
cout << "the product, normalized back to 0-255, still in 32FC1:" << endl << product << endl;
product.convertTo(product, CV_8UC1);
cout << "the product, normalized back to 0-255, now int 8UC1:" << endl << product << endl;
cout << "-----------------------------------------------------------" << endl;
// real stuffs now.
imgA = imread("test1.jpg");
cvtColor(imgA, imgA, CV_BGR2GRAY);
imgB = imread("test2.jpg");
cvtColor(imgB, imgB, CV_BGR2GRAY);
imgA_32FC1 = imgA.clone();
imgA_32FC1.convertTo(imgA_32FC1, CV_32FC1);
imgB_32FC1 = imgB.clone();
imgB_32FC1.convertTo(imgB_32FC1, CV_32FC1);
product = imgA_32FC1.mul( imgB_32FC1 );
printMinMax(product, "product");
product.convertTo(product, CV_32FC1, 1.0f/65025.0f * 255);
product.convertTo(product, CV_8UC1);
// concat two images in one big image
imgAB = Mat( max(imgA.rows,imgB.rows), imgA.cols+imgB.cols, imgA.type());
imgA.copyTo(imgAB(Rect(0, 0, imgA.cols, imgA.rows)));
imgB.copyTo(imgAB(Rect(imgA.cols, 0, imgB.cols, imgB.rows)));
namedWindow("originals", CV_WINDOW_AUTOSIZE);
namedWindow("product", CV_WINDOW_AUTOSIZE);
while( true )
{
char c = (char)waitKey(10);
if( c == 27 )
{ break; }
imshow( "originals", imgAB );
imshow( "product", product );
}
return 0;
}