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New basic filter sample added
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@ -32,8 +32,8 @@ int main( int argc, char** argv )
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{ alpha = input; }
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/// Read image ( same size, same type )
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src1 = imread("../../images/LinuxLogo.jpg");
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src2 = imread("../../images/WindowsLogo.jpg");
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src1 = imread("../images/LinuxLogo.jpg");
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src2 = imread("../images/WindowsLogo.jpg");
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if( !src1.data ) { printf("Error loading src1 \n"); return -1; }
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if( !src2.data ) { printf("Error loading src2 \n"); return -1; }
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@ -43,8 +43,8 @@ void on_trackbar( int, void* )
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int main( int argc, char** argv )
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{
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/// Read image ( same size, same type )
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src1 = imread("../../images/LinuxLogo.jpg");
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src2 = imread("../../images/WindowsLogo.jpg");
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src1 = imread("../images/LinuxLogo.jpg");
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src2 = imread("../images/WindowsLogo.jpg");
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if( !src1.data ) { printf("Error loading src1 \n"); return -1; }
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if( !src2.data ) { printf("Error loading src2 \n"); return -1; }
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@ -36,7 +36,7 @@ int main( int argc, char** argv )
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cvtColor( image, gray_image, CV_RGB2GRAY );
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/// Save our gray image
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imwrite( "../../images/Gray_Image.png", gray_image );
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imwrite( "../images/Gray_Image.png", gray_image );
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/// Create a couple of windows and show our images
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namedWindow( imageName, CV_WINDOW_AUTOSIZE );
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109
samples/cpp/tutorial_code/Image_Processing/FilterDemo1.cpp
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109
samples/cpp/tutorial_code/Image_Processing/FilterDemo1.cpp
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@ -0,0 +1,109 @@
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/**
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* file FilterDemo1.cpp
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* brief Sample code for simple filters
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* author OpenCV team
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*/
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#include <iostream>
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#include <vector>
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#include "opencv2/imgproc/imgproc.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/features2d/features2d.hpp"
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using namespace std;
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using namespace cv;
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/// Global Variables
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int DELAY_CAPTION = 1500;
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int DELAY_BLUR = 100;
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int MAX_KERNEL_LENGTH = 31;
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Mat src; Mat dst;
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char window_name[] = "Filter Demo 1";
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/// Function headers
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int display_caption( char* caption );
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int display_dst( int delay );
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/**
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* function main
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*/
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int main( int argc, char** argv )
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{
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namedWindow( window_name, CV_WINDOW_AUTOSIZE );
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/// Load the source image
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src = imread( "../images/lena.png", 1 );
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if( display_caption( "Original Image" ) != 0 ) { return 0; }
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dst = src.clone();
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if( display_dst( DELAY_CAPTION ) != 0 ) { return 0; }
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/// Applying Homogeneous blur
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if( display_caption( "Homogeneous Blur" ) != 0 ) { return 0; }
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for ( int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2 )
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{ blur( src, dst, Size( i, i ), Point(-1,-1) );
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if( display_dst( DELAY_BLUR ) != 0 ) { return 0; } }
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/// Applying Gaussian blur
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if( display_caption( "Gaussian Blur" ) != 0 ) { return 0; }
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for ( int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2 )
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{ GaussianBlur( src, dst, Size( i, i ), 0, 0 );
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if( display_dst( DELAY_BLUR ) != 0 ) { return 0; } }
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/// Applying Median blur
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if( display_caption( "Median Blur" ) != 0 ) { return 0; }
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for ( int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2 )
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{ medianBlur ( src, dst, i );
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if( display_dst( DELAY_BLUR ) != 0 ) { return 0; } }
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/// Applying Bilateral Filter
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if( display_caption( "Bilateral Blur" ) != 0 ) { return 0; }
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for ( int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2 )
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{ bilateralFilter ( src, dst, i, i*2, i/2 );
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if( display_dst( DELAY_BLUR ) != 0 ) { return 0; } }
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/// Wait until user press a key
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display_caption( "End: Press a key!" );
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waitKey(0);
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return 0;
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}
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/**
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* @function display_caption
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*/
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int display_caption( char* caption )
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{
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dst = Mat::zeros( src.size(), src.type() );
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putText( dst, caption,
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Point( src.cols/4, src.rows/2),
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CV_FONT_HERSHEY_COMPLEX, 1, Scalar(255, 255, 255) );
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imshow( window_name, dst );
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int c = waitKey( DELAY_CAPTION );
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if( c >= 0 ) { return -1; }
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return 0;
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}
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/**
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* @function display_dst
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*/
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int display_dst( int delay )
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{
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imshow( window_name, dst );
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int c = waitKey ( delay );
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if( c >= 0 ) { return -1; }
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return 0;
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}
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samples/cpp/tutorial_code/images/HappyFish.jpg
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samples/cpp/tutorial_code/images/HappyFish.jpg
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samples/cpp/tutorial_code/images/LinuxLogo.jpg
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samples/cpp/tutorial_code/images/LinuxLogo.jpg
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samples/cpp/tutorial_code/images/WindowsLogo.jpg
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samples/cpp/tutorial_code/images/cat.jpg
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samples/cpp/tutorial_code/images/lena.png
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samples/cpp/tutorial_code/images/lena.png
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