opencv学习(7)——图像平滑

#include <iostream>
#include <vector>

#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/features2d/features2d.hpp"

using namespace std;
using namespace cv;

/// Global Variables
int DELAY_CAPTION = 1500;
int DELAY_BLUR = 100;
int MAX_KERNEL_LENGTH = 31;

Mat src; Mat dst;
char window_name[] = "Smoothing Demo";

/// Function headers
int display_caption( const char* caption );
int display_dst( int delay );

/**
* function main
*/
int main( void )
{
namedWindow( window_name, WINDOW_AUTOSIZE );

/// Load the source image
src=imread("D:\\software_anz\\opencv\\opencv\\sources\\samples\\data\\fruits.jpg", 1 );

if( display_caption( "Original Image" ) != 0 ) { return 0; }

dst = src.clone();
if( display_dst( DELAY_CAPTION ) != 0 ) { return 0; }

/// Applying Homogeneous blur
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
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 );
if( display_dst( DELAY_BLUR ) != 0 ) { return 0; } }

/// Applying Median blur
if( display_caption( "Median Blur" ) != 0 ) { return 0; }

for ( int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2 )
{ medianBlur ( src, dst, i );
if( display_dst( DELAY_BLUR ) != 0 ) { return 0; } }

/// Applying Bilateral Filter
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 key
display_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;
}

1.putText()函数

C++: void putText(Mat& img, const string& text, Point org, int fontFace, double fontScale, Scalar color, int thickness=1, int lineType=8, bool bottomLeftOrigin=false )

Parameters:

img – 显示文字所在图像.

text – 待显示的文字.

org – 文字在图像中的左下角 坐标.

font – 字体结构体.

fontFace – 字体类型， 可选择字体：FONT_HERSHEY_SIMPLEX, FONT_HERSHEY_PLAIN,FONT_HERSHEY_DUPLEX,FONT_HERSHEY_COMPLEX,FONT_HERSHEY_TRIPLEX,FONT_HERSHEY_COMPLEX_SMALL,FONT_HERSHEY_SCRIPT_SIMPLEX,orFONT_HERSHEY_SCRIPT_COMPLEX,以上所有类型都可以配合 FONT_HERSHEY_ITALIC使用，产生斜体效果。

fontScale – 字体大小，该值和字体内置大小相乘得到字体大小

color – 文本颜色

thickness – 写字的线的粗细，类似于0.38的笔尖和0.5的笔尖

lineType – 线性.

bottomLeftOrigin – true, 图像数据原点在左下角. Otherwise, 图像数据原点在左上角.

2.blur(),GaussianBlur(),medianBlur(),bilateralFilter()

参考：http://blog.csdn.net/vblittleboy/article/details/9187447