#include <iostream>
#include <vector>#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/features2d/features2d.hpp"using namespace std;
using namespace cv;/// 全局变量
int DELAY_CAPTION = 1500;
int DELAY_BLUR = 100;
int MAX_KERNEL_LENGTH = 31;   //最大的核长度Mat src; Mat dst;
char window_name[] = "Smoothing Demo";/// Function headers函数声明
int display_caption( const char* caption );
int display_dst( int delay );/*** function main*/
int main( void )
{namedWindow( window_name, WINDOW_AUTOSIZE );///载入原图想src = imread( "/home/salm/myopencv/images/cat.jpg", 1 );if( display_caption( "Original Image" ) != 0 ) { return 0; }dst = src.clone();if( display_dst( DELAY_CAPTION ) != 0 ) { return 0; }/// Applying Homogeneous blur    使用均值平滑
/*blur归一化块滤波src: 输入图像dst: 输出图像Size( w,h ): 定义内核大小( w 像素宽度， h 像素高度)Point(-1, -1): 指定锚点位置(被平滑点)， 如果是负值，取核的中心为锚点。
*/if( display_caption( "Homogeneous Blur" ) != 0 ) { return 0; }for ( int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2 ){ blur( src, dst, Size( i, i ), Point(-1,-1) );if( display_dst( DELAY_BLUR ) != 0 ) { return 0; } }/// Applying Gaussian blur     使用高斯平滑if( display_caption( "Gaussian Blur" ) != 0 ) { return 0; }for ( int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2 ){ GaussianBlur( src, dst, Size( i, i ), 0, 0 ); //Size(w, h): 定义内核的大小(需要考虑的邻域范围)。 w 和 h 必须是正奇数，否则将使用 \sigma_{x} 和 \sigma_{y} 参数来计算内核大小if( display_dst( DELAY_BLUR ) != 0 ) { return 0; } }/// Applying Median blur    中值滤波if( display_caption( "Median Blur" ) != 0 ) { return 0; }for ( int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2 ){ medianBlur ( src, dst, i );  //i: 内核大小 (只需一个值，因为我们使用正方形窗口)，必须为奇数if( display_dst( DELAY_BLUR ) != 0 ) { return 0; } }/// Applying Bilateral Filter  双边滤波
/*
bilateral执行双边滤波操作src: 输入图像dst: 输出图像d: 像素的邻域直径sigma_{Color}: 颜色空间的标准方差sigma_{Space}: 坐标空间的标准方差(像素单位)
*/if( display_caption( "Bilateral Blur" ) != 0 ) { return 0; }for ( int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2 ){ bilateralFilter ( src, dst, i, i*2, i/2 );if( display_dst( DELAY_BLUR ) != 0 ) { return 0; } }/// Wait until user press a keydisplay_caption( "End: Press a key!" );waitKey(0);return 0;
}/*** @function display_caption*/
int display_caption( const char* caption )
{dst = Mat::zeros( src.size(), src.type() );putText( dst, caption,Point( src.cols/4, src.rows/2),FONT_HERSHEY_COMPLEX, 1, Scalar(255, 255, 255) );imshow( window_name, dst );int c = waitKey( DELAY_CAPTION );if( c >= 0 ) { return -1; }return 0;
}/*** @function display_dst*/
int display_dst( int delay )
{imshow( window_name, dst );int c = waitKey ( delay );if( c >= 0 ) { return -1; }return 0;
}

#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <stdlib.h>
#include <stdio.h>using namespace cv;/// Global variables 全局变量
Mat src, erosion_dst, dilation_dst;int erosion_elem = 0;
int erosion_size = 0;
int dilation_elem = 0;
int dilation_size = 0;
int const max_elem = 2;
int const max_kernel_size = 21;//函数申明
void Erosion( int, void* );
void Dilation( int, void* );int main( int, char** argv )
{/// Load an imagesrc = imread( argv[1] );if( !src.data ){ return -1; }/// Create windowsnamedWindow( "Erosion Demo", WINDOW_AUTOSIZE );namedWindow( "Dilation Demo", WINDOW_AUTOSIZE );moveWindow( "Dilation Demo", src.cols, 0 );/// Create Erosion TrackbarcreateTrackbar( "Element:\n 0: Rect \n 1: Cross \n 2: Ellipse", "Erosion Demo",&erosion_elem, max_elem,Erosion );createTrackbar( "Kernel size:\n 2n +1", "Erosion Demo",&erosion_size, max_kernel_size,Erosion );/// Create Dilation TrackbarcreateTrackbar( "Element:\n 0: Rect \n 1: Cross \n 2: Ellipse", "Dilation Demo",&dilation_elem, max_elem,Dilation );createTrackbar( "Kernel size:\n 2n +1", "Dilation Demo",&dilation_size, max_kernel_size,Dilation );/// Default startErosion( 0, 0 );Dilation( 0, 0 );waitKey(0);return 0;
}/*
内核选择三种形状之一:矩形: MORPH_RECT交叉形: MORPH_CROSS椭圆形: MORPH_ELLIPSE
*/
void Erosion( int, void* )
{int erosion_type = 0;if( erosion_elem == 0 ){ erosion_type = MORPH_RECT; }else if( erosion_elem == 1 ){ erosion_type = MORPH_CROSS; }else if( erosion_elem == 2) { erosion_type = MORPH_ELLIPSE; }Mat element = getStructuringElement( erosion_type,Size( 2*erosion_size + 1, 2*erosion_size+1 ),Point( erosion_size, erosion_size ) );/// Apply the erosion operationerode( src, erosion_dst, element );imshow( "Erosion Demo", erosion_dst );
}void Dilation( int, void* )
{int dilation_type = 0;if( dilation_elem == 0 ){ dilation_type = MORPH_RECT; }else if( dilation_elem == 1 ){ dilation_type = MORPH_CROSS; }else if( dilation_elem == 2) { dilation_type = MORPH_ELLIPSE; }Mat element = getStructuringElement( dilation_type,Size( 2*dilation_size + 1, 2*dilation_size+1 ),Point( dilation_size, dilation_size ) );/// Apply the dilation operationdilate( src, dilation_dst, element );imshow( "Dilation Demo", dilation_dst );
}

#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <stdlib.h>
#include <stdio.h>using namespace cv;/// Global variables
Mat src, dst;int morph_elem = 0;
int morph_size = 0;
int morph_operator = 0;
int const max_operator = 4;
int const max_elem = 2;
int const max_kernel_size = 21;const char* window_name = "Morphology Transformations Demo";/** Function Headers */
void Morphology_Operations( int, void* );int main( int, char** argv )
{///  载入图像src = imread( argv[1] );if( !src.data ){ return -1; }/// Create windownamedWindow( window_name, WINDOW_AUTOSIZE );/// Create Trackbar to select Morphology operationcreateTrackbar("Operator:\n 0: Opening - 1: Closing  \n 2: Gradient - 3: Top Hat \n 4: Black Hat", window_name, &morph_operator, max_operator, Morphology_Operations );/// Create Trackbar to select kernel typecreateTrackbar( "Element:\n 0: Rect - 1: Cross - 2: Ellipse", window_name,&morph_elem, max_elem,Morphology_Operations );/// Create Trackbar to choose kernel sizecreateTrackbar( "Kernel size:\n 2n +1", window_name,&morph_size, max_kernel_size,Morphology_Operations );/// Default startMorphology_Operations( 0, 0 );waitKey(0);return 0;
}/*** @function Morphology_Operations*/
void Morphology_Operations( int, void* )
{// Since MORPH_X : 2,3,4,5 and 6int operation = morph_operator + 2;Mat element = getStructuringElement( morph_elem, Size( 2*morph_size + 1, 2*morph_size+1 ), Point( morph_size, morph_size ) );/// Apply the specified morphology operationmorphologyEx( src, dst, operation, element );imshow( window_name, dst );
}