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. Smoothing Images

程序员文章站 2024-03-15 08:26:53
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#include
#include “opencv2/imgproc.hpp”
#include “opencv2/imgcodecs.hpp”
#include “opencv2/highgui.hpp”

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 = “/home/chang/projects/opencv_GPU_example/test.jpg”;
src = imread( samples::findFile( filename ), IMREAD_COLOR );
if (src.empty())
{
printf(" Error opening image\n");
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;
}

相关标签: opencv