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Open Source Computer Vision Library
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59 lines
1.2 KiB
59 lines
1.2 KiB
/** |
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* @file Laplace_Demo.cpp |
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* @brief Sample code showing how to detect edges using the Laplace operator |
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* @author OpenCV team |
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*/ |
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#include "opencv2/imgproc.hpp" |
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#include "opencv2/imgcodecs.hpp" |
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#include "opencv2/highgui.hpp" |
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using namespace cv; |
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/** |
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* @function main |
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*/ |
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int main( int, char** argv ) |
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{ |
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//![variables] |
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Mat src, src_gray, dst; |
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int kernel_size = 3; |
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int scale = 1; |
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int delta = 0; |
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int ddepth = CV_16S; |
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const char* window_name = "Laplace Demo"; |
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//![variables] |
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//![load] |
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src = imread( argv[1], IMREAD_COLOR ); // Load an image |
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if( src.empty() ) |
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{ return -1; } |
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//![load] |
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//![reduce_noise] |
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/// Reduce noise by blurring with a Gaussian filter |
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GaussianBlur( src, src, Size(3,3), 0, 0, BORDER_DEFAULT ); |
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//![reduce_noise] |
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//![convert_to_gray] |
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cvtColor( src, src_gray, COLOR_BGR2GRAY ); // Convert the image to grayscale |
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//![convert_to_gray] |
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/// Apply Laplace function |
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Mat abs_dst; |
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//![laplacian] |
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Laplacian( src_gray, dst, ddepth, kernel_size, scale, delta, BORDER_DEFAULT ); |
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//![laplacian] |
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//![convert] |
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convertScaleAbs( dst, abs_dst ); |
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//![convert] |
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//![display] |
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imshow( window_name, abs_dst ); |
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waitKey(0); |
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//![display] |
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return 0; |
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}
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