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1. someMatrix.data -> someMatrix.prt() 2. someMatrix.data + someMatrix.step * lineIndex -> someMatrix.ptr( lineIndex ) 3. (SomeType*) someMatrix.data -> someMatrix.ptr<SomeType>() 4. someMatrix.data -> !someMatrix.empty() ( or !someMatrix.data -> someMatrix.empty() ) in logical expressions
56 lines
1.1 KiB
C++
56 lines
1.1 KiB
C++
/**
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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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#include "opencv2/imgcodecs.hpp"
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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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int main( int, char** argv )
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{
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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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/// Load an image
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src = imread( argv[1] );
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if( src.empty() )
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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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cvtColor( src, src_gray, COLOR_RGB2GRAY );
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/// Create window
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namedWindow( window_name, WINDOW_AUTOSIZE );
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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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