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/**
* @file Laplace_Demo.cpp
* @brief Sample code showing how to detect edges using the Laplace operator
* @author OpenCV team
*/
#include "opencv2/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp"
using namespace cv;
/**
* @function main
*/
int main( int argc, char** argv )
{
//![variables]
// Declare the variables we are going to use
Mat src, src_gray, dst;
int kernel_size = 3;
int scale = 1;
int delta = 0;
int ddepth = CV_16S;
const char* window_name = "Laplace Demo";
//![variables]
//![load]
const char* imageName = argc >=2 ? argv[1] : "lena.jpg";
src = imread( samples::findFile( imageName ), IMREAD_COLOR ); // Load an image
// Check if image is loaded fine
if(src.empty()){
printf(" Error opening image\n");
printf(" Program Arguments: [image_name -- default lena.jpg] \n");
return -1;
}
//![load]
//![reduce_noise]
// Reduce noise by blurring with a Gaussian filter ( kernel size = 3 )
GaussianBlur( src, src, Size(3, 3), 0, 0, BORDER_DEFAULT );
//![reduce_noise]
//![convert_to_gray]
cvtColor( src, src_gray, COLOR_BGR2GRAY ); // Convert the image to grayscale
//![convert_to_gray]
/// Apply Laplace function
Mat abs_dst;
//![laplacian]
Laplacian( src_gray, dst, ddepth, kernel_size, scale, delta, BORDER_DEFAULT );
//![laplacian]
//![convert]
// converting back to CV_8U
convertScaleAbs( dst, abs_dst );
//![convert]
//![display]
imshow( window_name, abs_dst );
waitKey(0);
//![display]
return 0;
}
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