2011-06-27 07:09:04 +08:00
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/**
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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/imgproc.hpp"
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2014-07-04 22:48:15 +08:00
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#include "opencv2/imgcodecs.hpp"
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2011-06-27 07:09:04 +08:00
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#include "opencv2/highgui/highgui.hpp"
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#include <stdlib.h>
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#include <stdio.h>
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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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2012-11-07 22:21:20 +08:00
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int main( int, char** argv )
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2011-06-27 07:09:04 +08:00
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{
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Mat src, src_gray, dst;
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2012-10-17 07:18:30 +08:00
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int kernel_size = 3;
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2011-06-27 07:09:04 +08:00
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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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2012-11-07 22:21:20 +08:00
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const char* window_name = "Laplace Demo";
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2011-06-27 07:09:04 +08:00
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/// Load an image
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src = imread( argv[1] );
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2014-08-13 19:08:27 +08:00
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if( src.empty() )
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2011-06-27 07:09:04 +08:00
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{ return -1; }
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/// Remove 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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/// Convert the image to grayscale
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2013-04-06 22:16:51 +08:00
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cvtColor( src, src_gray, COLOR_RGB2GRAY );
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2011-06-27 07:09:04 +08:00
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/// Create window
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2013-04-08 02:45:38 +08:00
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namedWindow( window_name, WINDOW_AUTOSIZE );
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2011-06-27 07:09:04 +08:00
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/// Apply Laplace function
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Mat abs_dst;
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Laplacian( src_gray, dst, ddepth, kernel_size, scale, delta, BORDER_DEFAULT );
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convertScaleAbs( dst, abs_dst );
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/// Show what you got
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imshow( window_name, abs_dst );
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waitKey(0);
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return 0;
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}
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