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samples/cpp/tutorial_code/ImgTrans/Laplace_Demo.cpp

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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;
+}