OpenCV  4.9.0-dev
Open Source Computer Vision
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samples/cpp/tutorial_code/ImgProc/Smoothing/Smoothing.cpp

Sample code for simple filters Check the corresponding tutorial for more details

#include <iostream>
using namespace std;
using namespace cv;
int DELAY_CAPTION = 1500;
int DELAY_BLUR = 100;
int MAX_KERNEL_LENGTH = 31;
Mat src; Mat dst;
char window_name[] = "Smoothing Demo";
int display_caption( const char* caption );
int display_dst( int delay );
int main( int argc, char ** argv )
{
namedWindow( window_name, WINDOW_AUTOSIZE );
const char* filename = argc >=2 ? argv[1] : "lena.jpg";
src = imread( samples::findFile( filename ), IMREAD_COLOR );
if (src.empty())
{
printf(" Error opening image\n");
printf(" Usage:\n %s [image_name-- default lena.jpg] \n", argv[0]);
return EXIT_FAILURE;
}
if( display_caption( "Original Image" ) != 0 )
{
return 0;
}
dst = src.clone();
if( display_dst( DELAY_CAPTION ) != 0 )
{
return 0;
}
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;
}
}
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;
}
}
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;
}
}
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;
}
}
display_caption( "Done!" );
return 0;
}
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) );
return display_dst(DELAY_CAPTION);
}
int display_dst( int delay )
{
imshow( window_name, dst );
int c = waitKey ( delay );
if( c >= 0 ) { return -1; }
return 0;
}
n-dimensional dense array class
Definition mat.hpp:812
CV_NODISCARD_STD Mat clone() const
Creates a full copy of the array and the underlying data.
MatSize size
Definition mat.hpp:2160
int cols
Definition mat.hpp:2138
bool empty() const
Returns true if the array has no elements.
int rows
the number of rows and columns or (-1, -1) when the matrix has more than 2 dimensions
Definition mat.hpp:2138
int type() const
Returns the type of a matrix element.
Template class for specifying the size of an image or rectangle.
Definition types.hpp:335
void imshow(const String &winname, InputArray mat)
Displays an image in the specified window.
int waitKey(int delay=0)
Waits for a pressed key.
void putText(InputOutputArray img, const String &text, Point org, int fontFace, double fontScale, Scalar color, int thickness=1, int lineType=LINE_8, bool bottomLeftOrigin=false)
Draws a text string.
void medianBlur(InputArray src, OutputArray dst, int ksize)
Blurs an image using the median filter.
void blur(InputArray src, OutputArray dst, Size ksize, Point anchor=Point(-1,-1), int borderType=BORDER_DEFAULT)
Blurs an image using the normalized box filter.
void bilateralFilter(InputArray src, OutputArray dst, int d, double sigmaColor, double sigmaSpace, int borderType=BORDER_DEFAULT)
Applies the bilateral filter to an image.
void GaussianBlur(InputArray src, OutputArray dst, Size ksize, double sigmaX, double sigmaY=0, int borderType=BORDER_DEFAULT)
Blurs an image using a Gaussian filter.
int main(int argc, char *argv[])
Definition highgui_qt.cpp:3
"black box" representation of the file storage associated with a file on disk.
Definition core.hpp:102
STL namespace.