Reorganized code and added Morphology 2 cpp code
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@@ -0,0 +1,52 @@
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/**
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* @file AddingImages.cpp
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* @brief Simple linear blender ( dst = alpha*src1 + beta*src2 )
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* @author OpenCV team
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*/
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#include <cv.h>
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#include <highgui.h>
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#include <iostream>
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using namespace cv;
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/**
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* @function main
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* @brief Main function
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*/
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int main( int argc, char** argv )
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{
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double alpha = 0.5; double beta; double input;
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Mat src1, src2, dst;
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/// Ask the user enter alpha
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std::cout<<" Simple Linear Blender "<<std::endl;
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std::cout<<"-----------------------"<<std::endl;
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std::cout<<"* Enter alpha [0-1]: ";
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std::cin>>input;
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// We use the alpha provided by the user iff it is between 0 and 1
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if( alpha >= 0 && alpha <= 1 )
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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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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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/// Create Windows
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namedWindow("Linear Blend", 1);
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beta = ( 1.0 - alpha );
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addWeighted( src1, alpha, src2, beta, 0.0, dst);
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imshow( "Linear Blend", dst );
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waitKey(0);
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return 0;
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}
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@@ -0,0 +1,58 @@
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/**
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* @file BasicLinearTransforms.cpp
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* @brief Simple program to change contrast and brightness
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* @author OpenCV team
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*/
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#include <cv.h>
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#include <highgui.h>
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#include <iostream>
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using namespace cv;
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double alpha; /**< Simple contrast control */
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int beta; /**< Simple brightness control */
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/**
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* @function main
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* @brief Main function
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*/
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int main( int argc, char** argv )
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{
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/// Read image given by user
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Mat image = imread( argv[1] );
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Mat new_image = Mat::zeros( image.size(), image.type() );
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/// Initialize values
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std::cout<<" Basic Linear Transforms "<<std::endl;
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std::cout<<"-------------------------"<<std::endl;
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std::cout<<"* Enter the alpha value [1.0-3.0]: ";std::cin>>alpha;
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std::cout<<"* Enter the beta value [0-100]: "; std::cin>>beta;
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/// Do the operation new_image(i,j) = alpha*image(i,j) + beta
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/// Instead of these 'for' loops we could have used simply:
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/// image.convertTo(new_image, -1, alpha, beta);
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/// but we wanted to show you how to access the pixels :)
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for( int y = 0; y < image.rows; y++ )
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{ for( int x = 0; x < image.cols; x++ )
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{ for( int c = 0; c < 3; c++ )
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{
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new_image.at<Vec3b>(y,x)[c] = saturate_cast<uchar>( alpha*( image.at<Vec3b>(y,x)[c] ) + beta );
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}
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}
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}
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/// Create Windows
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namedWindow("Original Image", 1);
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namedWindow("New Image", 1);
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/// Show stuff
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imshow("Original Image", image);
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imshow("New Image", new_image);
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/// Wait until user press some key
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waitKey();
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return 0;
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}
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@@ -0,0 +1,105 @@
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/**
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* @file Morphology_1.cpp
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* @brief Erosion and Dilation sample code
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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/highgui/highgui.hpp"
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#include "highgui.h"
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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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/// Global variables
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Mat src, erosion_dst, dilation_dst;
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int erosion_elem = 0;
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int erosion_size = 0;
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int dilation_elem = 0;
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int dilation_size = 0;
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int const max_elem = 2;
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int const max_kernel_size = 21;
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/** Function Headers */
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void Erosion( int, void* );
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void Dilation( int, void* );
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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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/// Load an image
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src = imread( argv[1] );
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if( !src.data )
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{ return -1; }
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/// Create windows
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namedWindow( "Erosion Demo", CV_WINDOW_AUTOSIZE );
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namedWindow( "Dilation Demo", CV_WINDOW_AUTOSIZE );
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cvMoveWindow( "Dilation Demo", src.cols, 0 );
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/// Create Erosion Trackbar
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createTrackbar( "Element:\n 0: Rect \n 1: Cross \n 2: Ellipse", "Erosion Demo",
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&erosion_elem, max_elem,
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Erosion );
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createTrackbar( "Kernel size:\n 2n +1", "Erosion Demo",
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&erosion_size, max_kernel_size,
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Erosion );
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/// Create Dilation Trackbar
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createTrackbar( "Element:\n 0: Rect \n 1: Cross \n 2: Ellipse", "Dilation Demo",
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&dilation_elem, max_elem,
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Dilation );
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createTrackbar( "Kernel size:\n 2n +1", "Dilation Demo",
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&dilation_size, max_kernel_size,
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Dilation );
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/// Default start
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Erosion( 0, 0 );
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Dilation( 0, 0 );
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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 Erosion
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*/
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void Erosion( int, void* )
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{
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int erosion_type;
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if( erosion_elem == 0 ){ erosion_type = MORPH_RECT; }
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else if( erosion_elem == 1 ){ erosion_type = MORPH_CROSS; }
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else if( erosion_elem == 2) { erosion_type = MORPH_ELLIPSE; }
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Mat element = getStructuringElement( erosion_type,
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Size( 2*erosion_size + 1, 2*erosion_size+1 ),
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Point( erosion_size, erosion_size ) );
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/// Apply the erosion operation
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erode( src, erosion_dst, element );
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imshow( "Erosion Demo", erosion_dst );
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}
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/**
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* @function Dilation
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*/
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void Dilation( int, void* )
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{
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int dilation_type;
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if( dilation_elem == 0 ){ dilation_type = MORPH_RECT; }
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else if( dilation_elem == 1 ){ dilation_type = MORPH_CROSS; }
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else if( dilation_elem == 2) { dilation_type = MORPH_ELLIPSE; }
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Mat element = getStructuringElement( dilation_type,
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Size( 2*dilation_size + 1, 2*dilation_size+1 ),
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Point( dilation_size, dilation_size ) );
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/// Apply the dilation operation
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dilate( src, dilation_dst, element );
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imshow( "Dilation Demo", dilation_dst );
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}
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@@ -0,0 +1,80 @@
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/**
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* @file Morphology_2.cpp
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* @brief Advanced morphology Transformations sample code
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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/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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/// Global variables
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Mat src, dst;
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int morph_elem = 0;
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int morph_size = 0;
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int morph_operator = 0;
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int const max_operator = 4;
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int const max_elem = 2;
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int const max_kernel_size = 21;
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char* window_name = "Morphology Transformations Demo";
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/** Function Headers */
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void Morphology_Operations( int, void* );
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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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/// Load an image
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src = imread( argv[1] );
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if( !src.data )
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{ return -1; }
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/// Create window
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namedWindow( window_name, CV_WINDOW_AUTOSIZE );
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/// Create Trackbar to select Morphology operation
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createTrackbar("Operator:\n 0: Opening - 1: Closing \n 2: Gradient - 3: Top Hat \n 4: Black Hat", window_name, &morph_operator, max_operator, Morphology_Operations );
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/// Create Trackbar to select kernel type
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createTrackbar( "Element:\n 0: Rect - 1: Cross - 2: Ellipse", window_name,
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&morph_elem, max_elem,
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Morphology_Operations );
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/// Create Trackbar to choose kernel size
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createTrackbar( "Kernel size:\n 2n +1", window_name,
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&morph_size, max_kernel_size,
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Morphology_Operations );
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/// Default start
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Morphology_Operations( 0, 0 );
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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 Morphology_Operations
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*/
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void Morphology_Operations( int, void* )
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{
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// Since MORPH_X : 2,3,4,5 and 6
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int operation = morph_operator + 2;
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Mat element = getStructuringElement( morph_elem, Size( 2*morph_size + 1, 2*morph_size+1 ), Point( morph_size, morph_size ) );
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/// Apply the specified morphology operation
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morphologyEx( src, dst, operation, element );
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imshow( window_name, dst );
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}
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@@ -0,0 +1,109 @@
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/**
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* file Smoothing.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[] = "Smoothing Demo";
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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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